Triple

T12382091
Position Surface form Disambiguated ID Type / Status
Subject Ghana national under-23 football team E295768 entity
Predicate fifaTrigramme 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 under-23 football team, fifaTrigramme, GHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GHA
Context triple: [Ghana national under-23 football team, fifaTrigramme, 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. Ghanayem
    Ghanayem is a city in Egypt’s Asyut Governorate, known as one of the region’s principal urban centers.
  • C. GANA (Ghana)
    GANA (Ghana) is a political party in Ghana known for participating in the country’s multi-party democratic system.
  • D. 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.
  • E. EGY
    EGY is the official FIFA trigramme used to represent the Egypt national football team in international competitions and records.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbb3a2481908c2fcb5e6488eb3c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac5b46c81908d419e09f5629c37 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.