Triple

T2361562
Position Surface form Disambiguated ID Type / Status
Subject Boston urban core E47284 entity
Predicate hasPart P35 FINISHED
Object North End
North End is a historic waterfront neighborhood in Boston known for its Italian-American culture, narrow streets, and notable Revolutionary-era sites.
E259726 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: North End | Statement: [Boston urban core, hasPart, North End]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North End
Context triple: [Boston urban core, hasPart, North End]
  • A. North End
    North End is a predominantly residential and historically working-class neighborhood located in the northern section of Hartford, Connecticut.
  • B. South End
    South End is a historic, predominantly residential neighborhood in Hartford, Connecticut, known for its strong Italian-American heritage and local eateries.
  • C. South End
    South End is a historic Boston neighborhood known for its Victorian brownstone architecture, diverse community, and vibrant arts and dining scene.
  • D. Southfields
    Southfields is a residential district in southwest London, England, known for its proximity to Wimbledon and its quiet, suburban character.
  • E. Nordend
    Nordend is one of the main summits of the Monte Rosa massif in the Pennine Alps, known as one of the highest peaks in Switzerland.
  • 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: North End
Triple: [Boston urban core, hasPart, North End]
Generated description
North End is a historic waterfront neighborhood in Boston known for its Italian-American culture, narrow streets, and notable Revolutionary-era sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: North End
Target entity description: North End is a historic waterfront neighborhood in Boston known for its Italian-American culture, narrow streets, and notable Revolutionary-era sites.
  • A. North End
    North End is a predominantly residential and historically working-class neighborhood located in the northern section of Hartford, Connecticut.
  • B. South End
    South End is a historic, predominantly residential neighborhood in Hartford, Connecticut, known for its strong Italian-American heritage and local eateries.
  • C. South End
    South End is a historic Boston neighborhood known for its Victorian brownstone architecture, diverse community, and vibrant arts and dining scene.
  • D. Southfields
    Southfields is a residential district in southwest London, England, known for its proximity to Wimbledon and its quiet, suburban character.
  • E. Nordend
    Nordend is one of the main summits of the Monte Rosa massif in the Pennine Alps, known as one of the highest peaks in Switzerland.
  • F. None of above. chosen

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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc723c66481908a9b94991f651b3b completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea88cf3308190bdb5aac38aded823 completed March 9, 2026, 11:01 a.m.
NEDg Description generation batch_69aea91ce164819091aa24b287f9fb8e completed March 9, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_69aea999b864819084134c670e7c5d9c completed March 9, 2026, 11:06 a.m.
Created at: March 4, 2026, 7:55 p.m.