Triple

T14278151
Position Surface form Disambiguated ID Type / Status
Subject Al Bayt Stadium E353969 entity
Predicate locatedIn P40 FINISHED
Object Al Khor Municipality E348170 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 Khor Municipality | Statement: [Al Bayt Stadium, locatedIn, Al Khor Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Khor Municipality
Context triple: [Al Bayt Stadium, locatedIn, Al Khor Municipality]
  • A. Al Khor chosen
    Al Khor is a coastal city in northeastern Qatar known for hosting matches at Al Bayt Stadium during the 2022 FIFA World Cup.
  • B. Al Shahaniya Municipality
    Al Shahaniya Municipality is an administrative region in western Qatar known for its desert landscapes, camel racing track, and growing residential and industrial developments.
  • C. الجهراء
    الجهراء هي مدينة كويتية تقع غرب مدينة الكويت وتعد من أكبر محافظات البلاد من حيث المساحة والسكان.
  • D. Buraydah Municipality
    Buraydah Municipality is the local government authority responsible for urban planning, public services, and municipal administration in the city of Buraydah, Saudi Arabia.
  • E. Al-Shuwaikh
    Al-Shuwaikh is a district in Kuwait City known for its industrial area, port facilities, and commercial activity.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6585270c8190a717127b2f5dab3b completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1884f481908ea266c1651c4b59 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:10 a.m.