Triple

T38497069
Position Surface form Disambiguated ID Type / Status
Subject Beach 90th Street station E919722 entity
Predicate adjacentStation P5707 FINISHED
Object Beach 86th Street station
Beach 86th Street station is a New York City Subway station on the IND Rockaway Line in Queens serving the Rockaway Beach neighborhood.
E919722 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: Beach 86th Street station | Statement: [Beach 90th Street station, adjacentStation, Beach 86th 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: Beach 86th Street station
Triple: [Beach 90th Street station, adjacentStation, Beach 86th Street station]
Generated description
Beach 86th Street station is a New York City Subway station on the IND Rockaway Line in Queens serving the Rockaway Beach neighborhood.

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_69f76e9ddd4481908f8c04439d848f9d completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd246d7a4819085575887e2d091b0 completed May 7, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41e01fded481908e74ff245d81377c completed June 29, 2026, 3:01 a.m.
NEDg Description generation batch_6a41e28c66a48190ba743af96d4efa0d completed June 29, 2026, 3:12 a.m.
NED2 Entity disambiguation (via description) batch_6a41e3145eec81909453851382cd43f2 completed June 29, 2026, 3:14 a.m.
Created at: May 3, 2026, 4:31 p.m.