Triple

T16818572
Position Surface form Disambiguated ID Type / Status
Subject Long Island City station E408819 entity
Predicate ownedBy P347 FINISHED
Object MTA E615449 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: MTA | Statement: [Long Island City station, ownedBy, MTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTA
Context triple: [Long Island City station, ownedBy, MTA]
  • A. MTA
    MTA is the commonly used abbreviation for the Maryland Transit Administration, the state agency that operates public transportation services in and around Baltimore, Maryland.
  • B. MTA
    MTA is the abbreviated name historically used for Boston’s Metropolitan Transit Authority, the predecessor to today’s MBTA public transit system.
  • C. MTA chosen
    MTA is the public transportation authority serving the New York City metropolitan area, operating subways, buses, and commuter rail systems.
  • D. MTA
    MTA is the Hungarian Academy of Sciences, Hungary’s foremost scholarly institution overseeing and supporting scientific research across disciplines.
  • E. MTA
    MTA is an abbreviation for the Project on Managing the Atom, a research initiative focused on nuclear policy, security, and governance.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e476d48190bff097055cc353dc completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b297778c81909a2545c359739151 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.