Triple

T2780580
Position Surface form Disambiguated ID Type / Status
Subject Grupo Aeroportuario del Pacífico E61682 entity
Predicate tickerSymbol P1447 FINISHED
Object GAP E298170 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: GAP | Statement: [Grupo Aeroportuario del Pacífico, tickerSymbol, GAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GAP
Context triple: [Grupo Aeroportuario del Pacífico, tickerSymbol, GAP]
  • A. GAP chosen
    GAP is a Mexican airport operator that manages a network of major airports primarily along the Pacific coast and in western Mexico.
  • B. Gap
    Gap is a town in southeastern France, known as the capital of the Hautes-Alpes department and a gateway to the French Alps.
  • C. GAC
    The GAC is a committee within the Internet Corporation for Assigned Names and Numbers (ICANN) that provides governments and intergovernmental organizations with a formal voice in global internet governance and policy development.
  • D. GAB
    GAB is the three-letter ISO 3166-1 alpha-3 country code assigned to Gabon.
  • E. GROM
    GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd997ebc8190bff88fe549827615 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc64f94208190b9b8da1fdf6252cc completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:57 p.m.