Triple

T2755795
Position Surface form Disambiguated ID Type / Status
Subject Ghana national football team E61096 entity
Predicate fifaCode P6278 FINISHED
Object GHA E23760 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: GHA | Statement: [Ghana national football team, fifaCode, GHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GHA
Context triple: [Ghana national football team, fifaCode, GHA]
  • A. GHA
    GHA is a German vehicle registration code assigned to a specific locality within the district of Leipzig in the state of Saxony.
  • B. Ghana chosen
    Ghana is a West African nation known for being the first sub-Saharan African country to gain independence from colonial rule and for its stable democracy and rich cultural heritage.
  • C. Hausaland
    Hausaland is a historical region of West Africa traditionally inhabited by the Hausa people, known for its influential city-states, trans-Saharan trade, and rich Islamic cultural heritage.
  • D. Wazzu
    Wazzu is a popular nickname for Washington State University, a public research university located in Pullman, Washington.
  • E. Nubia
    Nubia is a historic region along the Nile in southern Egypt and northern Sudan, renowned for its ancient civilizations, archaeological sites, and monumental temples.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb718f4c8190bfc34c6597163ebc completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc040c5f08190898e81938afe6884 completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:56 p.m.