Triple

T8370901
Position Surface form Disambiguated ID Type / Status
Subject Libyan Premier League E197450 entity
Predicate includesClub P6630 FINISHED
Object Al-Nasr Benghazi E39043 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: Al-Nasr Benghazi | Statement: [Libyan Premier League, includesClub, Al-Nasr Benghazi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Nasr Benghazi
Context triple: [Libyan Premier League, includesClub, Al-Nasr Benghazi]
  • A. Al-Nasr SC (Benghazi) chosen
    Al-Nasr SC (Benghazi) is a prominent Libyan football club based in Benghazi that competes in the country’s top-tier league.
  • B. 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.
  • C. Al-Nasr
    Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
  • D. Abaji
    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.
  • E. Al Taawoun
    Al Taawoun is a professional football club based in Buraidah, Saudi Arabia, that competes in the Saudi Pro 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a509dc81909e0ea4c66b21d84f completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc79752b48190933ea644a59f2305 completed April 2, 2026, 1:34 a.m.
Created at: March 30, 2026, 6:01 p.m.