Triple

T12298411
Position Surface form Disambiguated ID Type / Status
Subject Abuja Municipal Area Council E293150 entity
Predicate hasJurisdictionOver P808 FINISHED
Object Asokoro E66826 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: Asokoro | Statement: [Abuja Municipal Area Council, hasJurisdictionOver, Asokoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asokoro
Context triple: [Abuja Municipal Area Council, hasJurisdictionOver, Asokoro]
  • A. Asokoro chosen
    Asokoro is an upscale residential and administrative district in Abuja, Nigeria, known for hosting many government institutions, embassies, and high-profile residents.
  • B. Boroko
    Boroko is a major residential and commercial suburb of Port Moresby in Papua New Guinea, known for its shopping areas and sports facilities.
  • C. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • D. Miyakoan
    Miyakoan is a Ryukyuan language spoken primarily on the Miyako Islands of Japan, distinct from standard Japanese and recognized as endangered.
  • E. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • 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_69f62a9b8ef88190bce122f1b1800cd4 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.