Triple

T7372820
Position Surface form Disambiguated ID Type / Status
Subject Al Taawoun FC E170050 entity
Predicate shortName P43 FINISHED
Object Al Taawoun
Al Taawoun is a professional football club based in Buraidah, Saudi Arabia, that competes in the Saudi Pro League.
E661012 NE FINISHED

How this triple was built (4 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 Taawoun | Statement: [Al Taawoun FC, shortName, Al Taawoun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Taawoun
Context triple: [Al Taawoun FC, shortName, Al Taawoun]
  • A. 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.
  • 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. 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.
  • D. Al-Nasr
    Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
  • E. Al-Ahli
    Al-Ahli is a Qatari professional football club based in Doha and one of the country’s oldest and most historic teams.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Al Taawoun
Triple: [Al Taawoun FC, shortName, Al Taawoun]
Generated description
Al Taawoun is a professional football club based in Buraidah, Saudi Arabia, that competes in the Saudi Pro League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Al Taawoun
Target entity description: Al Taawoun is a professional football club based in Buraidah, Saudi Arabia, that competes in the Saudi Pro League.
  • A. 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.
  • 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. 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.
  • D. Al-Nasr
    Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
  • E. Al-Ahli
    Al-Ahli is a Qatari professional football club based in Doha and one of the country’s oldest and most historic teams.
  • F. None of above. chosen

Provenance (5 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1a50898819087097a64e09e19eb completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802caa9988190bdc0ed5d5dd15979 completed March 28, 2026, 4:33 p.m.
NEDg Description generation batch_69c8080344388190bf29c21988c8487d completed March 28, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_69c808746c988190abef3c0450d8930e completed March 28, 2026, 4:57 p.m.
Created at: March 27, 2026, 3:07 p.m.