Triple

T1652816

Position	Surface form	Disambiguated ID	Type / Status
Subject	Norristown	`E35730`	entity
Predicate	hasHistoricDistrict	`P295`	FINISHED
Object	Old Norristown Historic District Old Norristown Historic District is a designated historic area in Norristown, Pennsylvania, known for its preserved 19th- and early 20th-century architecture and its role in the town’s commercial and civic development.	`E186694`	NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: Old Norristown Historic District | Statement: [Norristown, hasHistoricDistrict, Old Norristown Historic District]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Old Norristown Historic District
Context triple: [Norristown, hasHistoricDistrict, Old Norristown Historic District]

A. Central Norristown Historic District
Central Norristown Historic District is a designated historic area in Norristown, Pennsylvania, recognized for its concentration of architecturally and historically significant buildings reflecting the community’s development.
B. Doylestown Historic District
Doylestown Historic District is a nationally recognized historic area in the borough of Doylestown, noted for its well-preserved 19th- and early 20th-century architecture and civic buildings.
C. New Hope Historic District
New Hope Historic District is a preserved area in the riverfront town of New Hope known for its 18th- and 19th-century architecture, arts community, and role as a historic Delaware River canal and milling center.
D. Embarcadero Historic District
The Embarcadero Historic District is a waterfront area along San Francisco’s eastern shoreline known for its preserved maritime-era architecture, piers, and the iconic Ferry Building.
E. Chestnut Street District
Chestnut Street District is a historic residential neighborhood in Salem, Massachusetts, known for its well-preserved Federal-style architecture and 19th-century merchant homes.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Old Norristown Historic District
Triple: [Norristown, hasHistoricDistrict, Old Norristown Historic District]

Generated description

Old Norristown Historic District is a designated historic area in Norristown, Pennsylvania, known for its preserved 19th- and early 20th-century architecture and its role in the town’s commercial and civic development.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Old Norristown Historic District
Target entity description: Old Norristown Historic District is a designated historic area in Norristown, Pennsylvania, known for its preserved 19th- and early 20th-century architecture and its role in the town’s commercial and civic development.

A. Central Norristown Historic District chosen
Central Norristown Historic District is a designated historic area in Norristown, Pennsylvania, recognized for its concentration of architecturally and historically significant buildings reflecting the community’s development.
B. Doylestown Historic District
Doylestown Historic District is a nationally recognized historic area in the borough of Doylestown, noted for its well-preserved 19th- and early 20th-century architecture and civic buildings.
C. New Hope Historic District
New Hope Historic District is a preserved area in the riverfront town of New Hope known for its 18th- and 19th-century architecture, arts community, and role as a historic Delaware River canal and milling center.
D. Embarcadero Historic District
The Embarcadero Historic District is a waterfront area along San Francisco’s eastern shoreline known for its preserved maritime-era architecture, piers, and the iconic Ferry Building.
E. Chestnut Street District
Chestnut Street District is a historic residential neighborhood in Salem, Massachusetts, known for its well-preserved Federal-style architecture and 19th-century merchant homes.
F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69a8860568888190a32cd9f70acbba42`	completed	March 4, 2026, 7:20 p.m.
NER	Named-entity recognition	`batch_69a90a88cb108190a836b972f600c257`	completed	March 5, 2026, 4:46 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69ad681db3408190a3b469e319486419`	completed	March 8, 2026, 12:14 p.m.
NEDg	Description generation	`batch_69ad692a4078819080c3a89166917081`	completed	March 8, 2026, 12:18 p.m.
NED2	Entity disambiguation (via description)	`batch_69ad698929f88190af97fc915d29a5b5`	completed	March 8, 2026, 12:20 p.m.

Created at: March 4, 2026, 7:29 p.m.