Triple

T12922204
Position Surface form Disambiguated ID Type / Status
Subject MTA New York City Transit Subdivision B E309151 entity
Predicate operatesService P5884 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: [MTA New York City Transit Subdivision B, operatesService, D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: D
Context triple: [MTA New York City Transit Subdivision B, operatesService, 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 the internal designation for the first-generation Audi A8 luxury sedan, produced in the late 1990s and early 2000s.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971e7f6e881908c7bb12283898c80 completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af625af88190b036f97feaefe43b completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:42 p.m.