Triple

T12298165
Position Surface form Disambiguated ID Type / Status
Subject Kuje E293142 entity
Predicate sharesStateWith P8274 FINISHED
Object Abaji E293144 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: Abaji | Statement: [Kuje, sharesStateWith, Abaji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abaji
Context triple: [Kuje, sharesStateWith, Abaji]
  • A. Abaji chosen
    Abaji is a town and local government area located within Nigeria’s Federal Capital Territory, serving as one of its key administrative and residential centers.
  • B. Al Taawoun
    Al Taawoun is a professional football club based in Buraidah, Saudi Arabia, that competes in the Saudi Pro League.
  • C. Wydad AC
    Wydad AC is one of Morocco’s most successful and popular football clubs, based in Casablanca and renowned for its passionate fanbase and historic domestic and continental achievements.
  • D. An-Nasr
    An-Nasr is the 110th chapter of the Qur’an, known for heralding the victory of Islam and the completion of the Prophet Muhammad’s mission.
  • E. Ittihad Kalba
    Ittihad Kalba is a professional football club from Kalba in the United Arab Emirates that competes in the country’s top-tier league.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d94d46007c81908e0f4b590402bf58 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7b88d08190a195a294a7fbd168 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.