Triple

T34493759
Position Surface form Disambiguated ID Type / Status
Subject New York City Subway stations in Brooklyn E885542 entity
Predicate hasComponent P35 FINISHED
Object Bay Ridge–95th Street station
Bay Ridge–95th Street station is the southern terminal of the R train in Brooklyn’s Bay Ridge neighborhood, serving as a local subway stop on the BMT Fourth Avenue Line.
 E2109703 NE FINISHED

How this triple was built (2 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: Bay Ridge–95th Street station | Statement: [New York City Subway stations in Brooklyn, hasComponent, Bay Ridge–95th Street station]
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: Bay Ridge–95th Street station
Triple: [New York City Subway stations in Brooklyn, hasComponent, Bay Ridge–95th Street station]
Generated description
Bay Ridge–95th Street station is the southern terminal of the R train in Brooklyn’s Bay Ridge neighborhood, serving as a local subway stop on the BMT Fourth Avenue Line.

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_69f349cafcec8190997b45b3fdc16c27 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71cf1030881908e86afc25764c3a1 completed May 3, 2026, 10:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a375bc8c1b08190a31ee8a5a1477ca4 completed June 21, 2026, 3:34 a.m.
NEDg Description generation batch_6a375cce6a748190989f2fffd5341e3c completed June 21, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_6a375d9623888190b8766e4f1a5bd898 completed June 21, 2026, 3:42 a.m.
Created at: May 1, 2026, 2:01 a.m.