Triple

T38544652
Position Surface form Disambiguated ID Type / Status
Subject DZ E924932 entity
Predicate correspondingFIFACode P191437 FINISHED
Object ALG NE NERFINISHED

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: ALG | Statement: [DZ, correspondingFIFACode, ALG]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: correspondingFIFACode
Context triple: [DZ, correspondingFIFACode, ALG]
  • A. homeTeamFIFAcode
    Indicates the FIFA country code assigned to the team designated as the home team in a match.
  • B. fifaAffiliationCountry
    Indicates that a country is affiliated with or recognized by FIFA as a member football association.
  • C. uefaCode
    Indicates the official UEFA-assigned code that identifies a football association, club, or national team within UEFA competitions and records.
  • D. fibaCode
    Indicates that an entity is associated with a specific FIBA (International Basketball Federation) code used to identify countries or teams in FIBA competitions.
  • E. homeCountryFIFA_code
    Indicates the FIFA country code that represents the national association or home country with which an entity is affiliated.
  • F. None of above. chosen

Provenance (4 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_69f76eadeac081909cdfdd0474cb6765 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdfbc71c481908ba7f87907b17782 completed May 7, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69fcdbe580b8819087f143596b2c79c0 completed May 7, 2026, 6:37 p.m.
PDg Predicate description generation batch_69fcdfbafbf48190abe38ec0003a6419 completed May 7, 2026, 6:53 p.m.
Created at: May 3, 2026, 4:32 p.m.