Triple

T14558383
Position Surface form Disambiguated ID Type / Status
Subject Jos North E341601 entity
Predicate contains P35 FINISHED
Object Jos city centre E963449 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: Jos city centre | Statement: [Jos North, contains, Jos city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jos city centre
Context triple: [Jos North, contains, Jos city centre]
  • A. Jos city chosen
    Jos city is a major urban center and plateau town in central Nigeria, known for its cool climate, scenic highland landscapes, and historical tin mining industry.
  • B. Osaka city center
    Osaka city center is the main commercial and business district of Osaka, Japan, known for its dense concentration of offices, shopping areas, and entertainment venues.
  • C. City of Osaka
    The City of Osaka is a major Japanese metropolis and commercial hub known for its modern architecture, vibrant street food culture, and historical landmarks.
  • D. Yokohama city center
    Yokohama city center is the main urban and commercial hub of Yokohama, known for its modern skyline, waterfront districts, and major shopping and business areas.
  • E. Dili city center
    Dili city center is the main commercial and administrative heart of East Timor’s capital, featuring government buildings, markets, and coastal urban areas along the Bay of Dili.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3881b788190922932fb8ff81160 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac003b08190923d469b3422cdab completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.