Triple

T2071952
Position Surface form Disambiguated ID Type / Status
Subject Williamsburg E44832 entity
Predicate servedBy P82 FINISHED
Object G train E16593 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: G train | Statement: [Williamsburg, servedBy, G train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: G train
Context triple: [Williamsburg, servedBy, G train]
  • A. G train chosen
    The G train is a New York City Subway service that runs entirely within Brooklyn and Queens, notably bypassing Manhattan.
  • B. E train
    The E train is a New York City Subway service that runs primarily along the IND Eighth Avenue Line, providing rapid transit between Queens and Manhattan.
  • C. J train
    The J train is a New York City Subway service that runs along the BMT Jamaica Line, connecting Jamaica, Queens with Lower Manhattan via Brooklyn.
  • D. N train
    The N train is a New York City Subway service that runs on the BMT Broadway Line in Manhattan and into Brooklyn, providing both local and express transit.
  • E. W train
    The W train is a local service of the New York City Subway that runs primarily in Manhattan and Queens, connecting Astoria to Lower Manhattan via the Broadway Line.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba0d20bc8190b19a32157f8b1607 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae30547b288190ab9466686f749768 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:41 p.m.