Triple

T609881
Position Surface form Disambiguated ID Type / Status
Subject Quincy E12073 entity
Predicate hasNeighborhood P40 FINISHED
Object Germantown
Germantown is a residential neighborhood within the city of Quincy, Massachusetts.
E80588 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: Germantown | Statement: [Quincy, hasNeighborhood, Germantown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germantown
Context triple: [Quincy, hasNeighborhood, Germantown]
  • A. Centreville
    Centreville is a suburban community in Fairfax County, Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
  • B. Murray Hill
    Murray Hill is a residential neighborhood on Manhattan’s East Side in New York City, known for its historic brownstones, proximity to Midtown, and mix of young professionals and long-time residents.
  • C. Herndon
    Herndon is a suburban town in Fairfax County, Virginia, known for its proximity to Washington, D.C. and Dulles International Airport.
  • D. Woodlawn, Maryland
    Woodlawn, Maryland is an unincorporated community in Baltimore County best known as the site of the Social Security Administration’s national headquarters.
  • E. Crystal City
    Crystal City is an urban neighborhood in Arlington, Virginia, known for its high-rise offices, residential towers, and proximity to Washington, D.C.
  • 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: Germantown
Triple: [Quincy, hasNeighborhood, Germantown]
Generated description
Germantown is a residential neighborhood within the city of Quincy, Massachusetts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Germantown
Target entity description: Germantown is a residential neighborhood within the city of Quincy, Massachusetts.
  • A. Centreville
    Centreville is a suburban community in Fairfax County, Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
  • B. Murray Hill
    Murray Hill is a residential neighborhood on Manhattan’s East Side in New York City, known for its historic brownstones, proximity to Midtown, and mix of young professionals and long-time residents.
  • C. Herndon
    Herndon is a suburban town in Fairfax County, Virginia, known for its proximity to Washington, D.C. and Dulles International Airport.
  • D. Woodlawn, Maryland
    Woodlawn, Maryland is an unincorporated community in Baltimore County best known as the site of the Social Security Administration’s national headquarters.
  • E. Crystal City
    Crystal City is an urban neighborhood in Arlington, Virginia, known for its high-rise offices, residential towers, and proximity to Washington, D.C.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df68f2c8190a0ee9da4692b2a62 completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a577891a148190ae1364191f7f63bb completed March 2, 2026, 11:42 a.m.
NEDg Description generation batch_69a57a2852c881909f5623847e2fd85d completed March 2, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69a57a82f3248190b3eced48edf7a4da completed March 2, 2026, 11:54 a.m.
Created at: March 1, 2026, 7:35 p.m.