Triple

T16283549
Position Surface form Disambiguated ID Type / Status
Subject Al Gharafa SC E395328 entity
Predicate formerName P65 FINISHED
Object Al Ittihad Doha E981399 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 Ittihad Doha | Statement: [Al Gharafa SC, formerName, Al Ittihad Doha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Ittihad Doha
Context triple: [Al Gharafa SC, formerName, Al Ittihad Doha]
  • A. Al Ittihad (Qatar) chosen
    Al Ittihad (Qatar) is a Qatari football club that has featured notable international players such as Ghanaian striker Tony Yeboah.
  • B. Qatar SC
    Qatar SC is a professional football club based in Doha, Qatar, known for competing in the Qatar Stars League and attracting prominent international players.
  • C. Al Wahda
    Al Wahda is a professional football club best known for competing in the top tier of United Arab Emirates football.
  • D. 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.
  • E. Al-Ahli SC (Qatar)
    Al-Ahli SC (Qatar) is a professional football club based in Doha and one of the oldest and most historic teams in Qatari football.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24912c5808190a0d9c9f491315068 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c8f51c8190b73cdf2834eda57f completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.