Triple

T14510039
Position Surface form Disambiguated ID Type / Status
Subject Porto Arabia E340371 entity
Predicate locatedIn P40 FINISHED
Object Doha Municipality E1091112 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: [Porto Arabia, locatedIn, Doha Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doha Municipality
Context triple: [Porto Arabia, locatedIn, Doha Municipality]
  • A. Doha District chosen
    Doha District is an administrative area centered on Qatar’s capital city, serving as the country’s primary political, economic, and cultural hub.
  • B. Doha district
    Doha district is an urban administrative area within Kuwait’s capital region, forming part of the metropolitan core of Kuwait City.
  • C. Hamad Town
    Hamad Town is a planned residential town in Bahrain known for its large roundabouts and diverse, predominantly middle-class population.
  • D. 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.
  • E. Qatar Petroleum District
    Qatar Petroleum District is a major corporate and commercial complex in Doha that serves as the headquarters campus for QatarEnergy (formerly Qatar Petroleum), featuring multiple high-rise office towers and supporting facilities.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e5b7b48190878be271840c265b completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94aa39c08190a265f7e23a2c1f0e completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:21 a.m.