Triple

T10375420
Position Surface form Disambiguated ID Type / Status
Subject Bus Tracker real-time information system E244494 entity
Predicate operator P179 FINISHED
Object CTA E1910 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: CTA | Statement: [Bus Tracker real-time information system, operator, CTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTA
Context triple: [Bus Tracker real-time information system, operator, CTA]
  • A. CTA chosen
    CTA is the primary public transportation agency serving Chicago and many of its surrounding suburbs, operating the city's buses and rapid transit "L" train system.
  • B. CTA
    CTA is the IATA airport code for Catania–Fontanarossa Airport, the main international airport serving Catania and eastern Sicily, Italy.
  • C. CTA
    CTA is the acronym commonly used for the Canadian Transportation Agency, the federal regulator overseeing air, rail, and marine transportation in Canada.
  • D. CTA
    CTA is the abbreviation for the Common Travel Area, a free-movement zone comprising the United Kingdom, Ireland, the Isle of Man, and the Channel Islands.
  • E. CTA
    CTA is a U.S. federal law aimed at combating money laundering and other illicit financial activities by requiring certain companies to disclose information about their beneficial owners.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e98106d081909d28e30d2fff6902 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795754570819093747f80e32fffce completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:02 p.m.