Triple

T31256041
Position Surface form Disambiguated ID Type / Status
Subject Canarsie Yard E796972 entity
Predicate adjacentTo P224 FINISHED
Object Canarsie–Rockaway Parkway station
Canarsie–Rockaway Parkway station is the southern terminal of the New York City Subway’s L line in Brooklyn, serving the Canarsie neighborhood.
 E1958893 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: Canarsie–Rockaway Parkway station | Statement: [Canarsie Yard, adjacentTo, Canarsie–Rockaway Parkway 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: Canarsie–Rockaway Parkway station
Triple: [Canarsie Yard, adjacentTo, Canarsie–Rockaway Parkway station]
Generated description
Canarsie–Rockaway Parkway station is the southern terminal of the New York City Subway’s L line in Brooklyn, serving the Canarsie 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_69f224dd5fdc81908a4cd24917b67668 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69d885a548190aec4f754e4f6f279 completed May 3, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a71ff5e38819082eea65bb6c6089d completed June 11, 2026, 8:29 a.m.
NEDg Description generation batch_6a2a72a8a97481909659483ae80ecd40 completed June 11, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_6a2a8ffddc948190be18c84348a42791 completed June 11, 2026, 10:37 a.m.
Created at: April 29, 2026, 9:12 p.m.