Triple

T12298409
Position Surface form Disambiguated ID Type / Status
Subject Abuja Municipal Area Council E293150 entity
Predicate hasJurisdictionOver P808 FINISHED
Object Garki E61199 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: Garki | Statement: [Abuja Municipal Area Council, hasJurisdictionOver, Garki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garki
Context triple: [Abuja Municipal Area Council, hasJurisdictionOver, Garki]
  • A. Garki chosen
    Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
  • B. Guraru
    Guraru is a town in the Indian state of Bihar, known as a local settlement within the Gaya region.
  • C. Dschang
    Dschang is a city in western Cameroon known as an important educational and cultural center, home to the University of Dschang and a mild highland climate.
  • D. Takrur
    Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
  • E. Garuwa
    Garuwa is the Indigenous name used by local Aboriginal people for Australia’s Karuah River.
  • 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.