Triple

T12298229
Position Surface form Disambiguated ID Type / Status
Subject Kwali E293145 entity
Predicate administrativeHeadquarters P62 FINISHED
Object Kwali town E963437 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: Kwali town | Statement: [Kwali, administrativeHeadquarters, Kwali town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwali town
Context triple: [Kwali, administrativeHeadquarters, Kwali town]
  • A. Kwali town chosen
    Kwali town is a semi-urban settlement in Nigeria’s Federal Capital Territory that serves as the administrative and commercial center of the surrounding Kwali Area Council.
  • B. Isa Town
    Isa Town is a residential and commercial town in central Bahrain known for its markets, schools, and mixed local and expatriate community.
  • C. Buvuma Town
    Buvuma Town is the main urban and administrative center located on Buvuma Island in Uganda’s Buvuma District.
  • D. Guling Town
    Guling Town is a historic resort and tourist town located on Lushan Mountain in Jiangxi Province, China, known for its scenic beauty and colonial-era architecture.
  • E. Itezhi-Tezhi town
    Itezhi-Tezhi town is a settlement in Zambia that developed near the Itezhi-Tezhi Dam and serves as a local center for services and access to the surrounding rural and wildlife areas.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93eda55148190b720e479163d36e7 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7b88d08190a195a294a7fbd168 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.