Triple

T32561793
Position Surface form Disambiguated ID Type / Status
Subject Bernhard Goetz E832246 entity
Predicate trainLineInvolved P177600 FINISHED
Object IRT Seventh Avenue Line
The IRT Seventh Avenue Line is a major New York City Subway trunk line in Manhattan and the Bronx, primarily served by the 1, 2, and 3 trains.
 E2012055 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: IRT Seventh Avenue Line | Statement: [Bernhard Goetz, trainLineInvolved, IRT Seventh Avenue 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: IRT Seventh Avenue Line
Triple: [Bernhard Goetz, trainLineInvolved, IRT Seventh Avenue Line]
Generated description
The IRT Seventh Avenue Line is a major New York City Subway trunk line in Manhattan and the Bronx, primarily served by the 1, 2, and 3 trains.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: trainLineInvolved
Context triple: [Bernhard Goetz, trainLineInvolved, IRT Seventh Avenue Line]
  • A. railwayLine
    Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
  • B. involvedTrain
    Indicates that a particular train participates in, is associated with, or plays a role in a specified event or situation.
  • C. railwayLineNow
    Indicates that a previously existing railway line has been replaced, succeeded, or is currently represented by a new or different railway line.
  • D. railLineOrigin
    Indicates that a rail line begins or originates from a specified location or point.
  • E. line1RollingStock
    Indicates that the rolling stock (e.g., train cars or locomotives) is assigned to or operating on the first line in a multi-line rail system.
  • F. None of above. chosen

Provenance (7 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_69f34926b9848190ace47d2dd0a0de7c completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f7009d39508190af7301f824615e88 completed May 3, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_6a347b95a034819081d54e4669b5cb8f completed June 18, 2026, 11:13 p.m.
NEDg Description generation batch_6a347c29d29c819085157ac0ed98a2f0 completed June 18, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a347d86b008819099f202b5d0f6a0d6 completed June 18, 2026, 11:21 p.m.
PD Predicate disambiguation batch_69f6fc5740fc81909774a4f65201a3ff completed May 3, 2026, 7:42 a.m.
PDg Predicate description generation batch_69f6ffb7554881908993d6d2ffbcf8f5 completed May 3, 2026, 7:56 a.m.
Created at: May 1, 2026, 1:03 a.m.