Triple

T28249975
Position Surface form Disambiguated ID Type / Status
Subject IRT (A Division) lines E712285 entity
Predicate hasOriginalSegment P102901 FINISHED
Object City Hall–145th Street line
The City Hall–145th Street line was an original Interborough Rapid Transit (IRT) subway route in New York City that connected Lower Manhattan’s City Hall station with 145th Street in Upper Manhattan.
E1808709 NE FINISHED

How this triple was built (3 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: City Hall–145th Street line | Statement: [IRT (A Division) lines, hasOriginalSegment, City Hall–145th Street line]
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: City Hall–145th Street line
Triple: [IRT (A Division) lines, hasOriginalSegment, City Hall–145th Street line]
Generated description
The City Hall–145th Street line was an original Interborough Rapid Transit (IRT) subway route in New York City that connected Lower Manhattan’s City Hall station with 145th Street in Upper Manhattan.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOriginalSegment
Context triple: [IRT (A Division) lines, hasOriginalSegment, City Hall–145th Street line]
  • A. hasOriginalPart chosen
    Indicates that an entity includes a component or segment that is part of its initial, original composition.
  • B. hasSegmentFrom
    Indicates that something includes or contains a segment that originates from or is derived from another specified source.
  • C. hasOriginalPrefix
    Indicates that an entity retains or is associated with its initial or primary prefix from which later forms or variants are derived.
  • D. hasExplicitOriginal
    Indicates that something has a clearly specified, directly stated original source or version from which it is derived.
  • E. hasOriginalComposition
    Indicates that one entity is the initial or primary compositional source or makeup of another entity.
  • F. None of above.

Provenance (6 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_69efb51fb98881909692421959ec0170 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f7805ce6208190ac6dbd9c97989978 completed May 3, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e6d7e6b88190b525d8f9dba3944c completed May 26, 2026, 6:30 p.m.
NEDg Description generation batch_6a15ee5360c08190b2d41f5094658ccb completed May 26, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_6a15f3567468819084dba00f9ed8ff68 completed May 26, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69f77956ec648190ba4fb7e9d83fd107 completed May 3, 2026, 4:35 p.m.
Created at: April 27, 2026, 11:04 p.m.