Triple

T23821452
Position Surface form Disambiguated ID Type / Status
Subject TGPY E589247 entity
Predicate countryICAOprefix P34409 FINISHED
Object TG LITERAL 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: TG | Statement: [TGPY, countryICAOprefix, TG]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryICAOprefix
Context triple: [TGPY, countryICAOprefix, TG]
  • A. countryDeJure
    Indicates that one entity is the legally recognized (de jure) country having sovereignty or authority over another entity.
  • B. ICCCode
    Indicates that an entity is associated with a specific International Criminal Court (ICC) code, identifying its classification or legal reference under ICC standards.
  • C. ISOCode
    Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
  • D. icaoRegionPrefix chosen
    Indicates the regional ICAO prefix that designates the geographic or administrative region associated with an aviation-related entity.
  • E. countryOrTerritory
    Indicates that one entity is a country or territory associated with, or characterized by, another entity.
  • F. None of above.

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_69e25d18619081909c7fb89d8926f14a completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c7af4d4481908095348fae9e54f4 completed April 29, 2026, 8:56 a.m.
PD Predicate disambiguation batch_69f156036ad48190bc2ffdaf39218bcb completed April 29, 2026, 12:51 a.m.
Created at: April 17, 2026, 7:59 p.m.