Triple

T13406635
Position Surface form Disambiguated ID Type / Status
Subject Al Wakrah Souq E319976 entity
Predicate locatedIn P40 FINISHED
Object Al Wakrah Municipality E82869 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 Wakrah Municipality | Statement: [Al Wakrah Souq, locatedIn, Al Wakrah Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Wakrah Municipality
Context triple: [Al Wakrah Souq, locatedIn, Al Wakrah Municipality]
  • A. Al Wakrah chosen
    Al Wakrah is a coastal city in southeastern Qatar known for its historic fishing and pearling heritage and as the site of the modern Al Janoub Stadium.
  • B. Hamad Town
    Hamad Town is a planned residential town in Bahrain known for its large roundabouts and diverse, predominantly middle-class population.
  • C. Darayya District
    Darayya District is an administrative district in southern Syria, located just southwest of Damascus within the Rif Dimashq Governorate.
  • D. Al Wahat District
    Al Wahat District is an administrative region in northeastern Libya that includes parts of the country’s oil-rich desert areas and key coastal settlements.
  • E. 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.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4be498819094798473a1bfd853 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d37b9988190b8f830fb52586340 completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:35 p.m.