Triple

T28362541
Position Surface form Disambiguated ID Type / Status
Subject Jay Street–MetroTech E718400 entity
Predicate adjacentStationOnF P174693 FINISHED
Object York Street
York Street is a New York City Subway station in Brooklyn serving the F line near the DUMBO neighborhood.
 E2287184 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: York Street | Statement: [Jay Street–MetroTech, adjacentStationOnF, 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: [Jay Street–MetroTech, adjacentStationOnF, York Street]
Generated description
York Street is a New York City Subway station in Brooklyn serving the F line near the DUMBO neighborhood.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: adjacentStationOnF
Context triple: [Jay Street–MetroTech, adjacentStationOnF, York Street]
  • A. adjacentStationOnA
    Indicates that one station is directly next to another station along line A in the network.
  • B. adjacentStationOnL
    Indicates that one station is directly next to another station along line L in the network.
  • C. adjacentStationOnJ
    Indicates that one station is directly next to another station along line J in the network.
  • D. adjacentStationOnC
    Indicates that one station is directly next to another station along line C in the network.
  • E. adjacentStationOnLine
    Indicates that one station is directly next to another station along the same transit line, with no other station in between.
  • 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_69eff6ed5af48190be4e0adf298223e0 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f6c5b7e46081909975b05f7298cc0e completed May 3, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a4767e2697481908712d82281a4a404 completed July 3, 2026, 7:42 a.m.
NEDg Description generation batch_6a476a4eb364819099e257a3b6bdb518 completed July 3, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_6a476aaf619c81908c438b025fc4e3a1 completed July 3, 2026, 7:54 a.m.
PD Predicate disambiguation batch_69f6c3f23ae081909a52801266063a3c completed May 3, 2026, 3:41 a.m.
PDg Predicate description generation batch_69f6c49069e48190a3486b6254a6645b completed May 3, 2026, 3:44 a.m.
Created at: April 28, 2026, 12:53 a.m.