Triple

T3014682
Position Surface form Disambiguated ID Type / Status
Subject Catania E82307 entity
Predicate airportIATA P418 FINISHED
Object CTA E267791 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: [Catania, airportIATA, CTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTA
Context triple: [Catania, airportIATA, CTA]
  • A. CTA
    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 chosen
    CTA is the IATA airport code for Catania–Fontanarossa Airport, the main international airport serving Catania and eastern Sicily, Italy.
  • C. CTC
    CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
  • D. CTC
    CTC is the commonly used abbreviation for the United Nations Security Council’s Counter-Terrorism Committee, which oversees global efforts to combat terrorism.
  • E. CTN
    CTN is the ICAO airline designator used to identify Croatia Airlines in international aviation operations.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a69e8148190a97507740c9d26a8 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e6b78448190beb41460314278ec completed March 11, 2026, 8:57 a.m.
Created at: March 8, 2026, 3 p.m.