Triple

T15350875
Position Surface form Disambiguated ID Type / Status
Subject Tabbat Yada E367046 entity
Predicate followsSurah P30312 FINISHED
Object An-Nasr E367807 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: An-Nasr | Statement: [Tabbat Yada, followsSurah, An-Nasr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: An-Nasr
Context triple: [Tabbat Yada, followsSurah, An-Nasr]
  • A. An-Nasr chosen
    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.
  • B. Al-Nasr
    Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
  • C. Al Wahda
    Al Wahda is a professional football club best known for competing in the top tier of United Arab Emirates football.
  • D. Al Taawoun
    Al Taawoun is a professional football club based in Buraidah, Saudi Arabia, that competes in the Saudi Pro League.
  • E. 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.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e290efc8190b22c95dcd3e5f57f completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1341033881909121ade33cecaf50 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:17 a.m.