Triple

T34470635
Position Surface form Disambiguated ID Type / Status
Subject East Broadway E884896 entity
Predicate adjacentStationSouth P32737 FINISHED
Object York Street
York Street is a New York City Subway station in Brooklyn on the IND Sixth Avenue Line, serving the F train near the DUMBO neighborhood.
 E2287184 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: York Street | Statement: [East Broadway, adjacentStationSouth, York Street]
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: York Street
Triple: [East Broadway, adjacentStationSouth, York Street]
Generated description
York Street is a New York City Subway station in Brooklyn on the IND Sixth Avenue Line, serving the F train near the DUMBO 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_69f349c880408190ade571c471ab154a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7199dda688190a79d5e73b285f132 completed May 3, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5c2e70cadc81908c282a8f2f061050 completed July 19, 2026, 1:54 a.m.
NEDg Description generation batch_6a5c2f85917c8190a03377ee03b526a0 completed July 19, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a5c2fdeeb6c8190ad44a47798ee84af completed July 19, 2026, 2:01 a.m.
Created at: May 1, 2026, 2:01 a.m.