Triple

T8709239
Position Surface form Disambiguated ID Type / Status
Subject Coney Island–Stillwell Avenue E206730 entity
Predicate isTerminalFor P2066 FINISHED
Object D E183002 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: D | Statement: [Coney Island–Stillwell Avenue, isTerminalFor, D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: D
Context triple: [Coney Island–Stillwell Avenue, isTerminalFor, D]
  • A. D
    D is a statically typed, compiled systems programming language designed as a modern successor to C and C++, emphasizing high performance, safety features, and programmer productivity.
  • B. D chosen
    The D is a New York City Subway service that runs on the IND Sixth Avenue Line in Manhattan and connects Rockefeller Center with other major destinations across the city.
  • C. D
    D is the vehicle registration code used on license plates for the German city of Düsseldorf.
  • D. D
    D is the standard siglum used by scholars to designate the Codex Bezae, an important early bilingual Greek-Latin manuscript of the New Testament.
  • E. D2
    D2 is a line of the Moscow Central Diameters suburban rail system, providing cross-city commuter rail service through Moscow and its surrounding areas.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c2e9c688190aceefaa2c3b7d7bd completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4290a25c81908f62e91b6d363419 completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:35 p.m.