Triple

T10681545
Position Surface form Disambiguated ID Type / Status
Subject TAR Aerolíneas E251767 entity
Predicate IcaoCode P419 FINISHED
Object LCT E251767 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: LCT | Statement: [TAR Aerolíneas, IcaoCode, LCT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LCT
Context triple: [TAR Aerolíneas, IcaoCode, LCT]
  • A. LCT chosen
    LCT is the ICAO airline designator assigned to TAR Aerolíneas, a regional carrier based in Mexico.
  • B. LCTES
    LCTES (Languages, Compilers, and Tools for Embedded Systems) is an ACM SIGPLAN-sponsored conference focused on programming languages, compilation techniques, and software tools for embedded and real-time systems.
  • C. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • D. LCC
    LCC is an abbreviation commonly used for the Launch Control Center, the facility responsible for overseeing and managing rocket launch operations.
  • E. LCC
    LCC is the acronym for Lovelock Correctional Center, a state prison facility located in Nevada.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc30be481909922844b539b622d completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98885abf88190b54ed9db779d3ff0 completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:10 p.m.