Triple

T1419336
Position Surface form Disambiguated ID Type / Status
Subject GOL Linhas Aéreas Inteligentes E31987 entity
Predicate ICAOcode P419 FINISHED
Object GLO E57778 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: GLO | Statement: [GOL Linhas Aéreas Inteligentes, ICAOcode, GLO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GLO
Context triple: [GOL Linhas Aéreas Inteligentes, ICAOcode, GLO]
  • A. glo chosen
    glo is a heated tobacco product brand developed by British American Tobacco as an alternative to traditional cigarettes.
  • B. GL
    GL is the commonly used abbreviation for GroenLinks, a Dutch green-left political party focused on environmentalism, social justice, and progressive policies.
  • C. G.O.L.H.
    G.O.L.H. is the abbreviation for the Grand Officier rank, one of the highest grades within France’s prestigious national order, the Légion d'honneur.
  • D.
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • E. GOS
    GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c40631e881909ddf81a2eb84af1c completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5857d6c8190902eecd7bb12cbaf completed March 8, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:59 p.m.