Triple

T4001781
Position Surface form Disambiguated ID Type / Status
Subject Al-Wehdat SC E89429 entity
Predicate rival P437 FINISHED
Object Al-Faisaly SC E87950 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-Faisaly SC | Statement: [Al-Wehdat SC, rival, Al-Faisaly SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Faisaly SC
Context triple: [Al-Wehdat SC, rival, Al-Faisaly SC]
  • A. Al-Faisaly SC chosen
    Al-Faisaly SC is one of Jordan’s most successful and popular football clubs, based in Amman and known for its numerous domestic titles and regional achievements.
  • B. Al Shamal SC
    Al Shamal SC is a professional football club from Qatar that competes in the country’s top-tier league.
  • C. Al Sailiya SC
    Al Sailiya SC is a professional football club based in Al Sailiya, Qatar, known for competing in the country’s top-tier league system.
  • D. Al Arabi SC
    Al Arabi SC is a prominent Qatari professional football club based in Doha, known for its passionate fan base and historic success in domestic competitions.
  • E. Sulaymaniyah SC
    Sulaymaniyah SC is a professional football club based in Sulaymaniyah, Iraq, competing in the Iraqi football league system.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa4290a48190b9c8cffa012c4df1 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f139a04819091f685c2986c35fb completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:34 p.m.