Triple

T3248241
Position Surface form Disambiguated ID Type / Status
Subject Souq Waqif E68114 entity
Predicate locatedIn P40 FINISHED
Object Doha Municipality E12693 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: Doha Municipality | Statement: [Souq Waqif, locatedIn, Doha Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doha Municipality
Context triple: [Souq Waqif, locatedIn, Doha Municipality]
  • A. Al Wakrah
    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. Doha chosen
    Doha is the rapidly developing capital and largest city of Qatar, known for its modern skyline, cultural institutions, and role as a major political and economic center in the Arab world.
  • C. Al-Doha
    Al-Doha is a Palestinian town located in the Bethlehem Governorate of the West Bank.
  • D. 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.
  • E. Jeddah Municipality
    Jeddah Municipality is the local government authority responsible for urban planning, public services, and infrastructure management in the city of Jeddah, Saudi Arabia.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3e9ed0819096ac238098ac403c completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e82f91788190a9b14613eab7a439 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:09 p.m.