Triple

T12582511
Position Surface form Disambiguated ID Type / Status
Subject Hadejia Emirate E300372 entity
Predicate hasCapital P204 FINISHED
Object Hadejia E360714 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: Hadejia | Statement: [Hadejia Emirate, hasCapital, Hadejia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadejia
Context triple: [Hadejia Emirate, hasCapital, Hadejia]
  • A. Hadejia chosen
    Hadejia is a historic commercial and agricultural town in northeastern Nigeria, known for its emirate, river basin, and role as a key urban center in Jigawa State.
  • B. Tuma River
    The Tuma River is a significant waterway in Nicaragua that serves as a major tributary feeding the country’s largest freshwater body, Gran Lago (Lake Nicaragua).
  • C. Ija
    Ija is a dialect of the Kaili language spoken by a local community in Central Sulawesi, Indonesia.
  • D. Amina River
    The Amina River is a tributary waterway in the Dominican Republic that feeds into the Yaque del Norte, the country’s longest and most significant river.
  • E. Bahr Kéita
    Bahr Kéita is a river in central Africa that serves as one of the contributing waterways feeding into the Chari River basin.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954b97a508190b6c901c506441dd0 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5b5c138819098326891f86eab48 completed May 3, 2026, 7:13 a.m.
Created at: April 9, 2026, 5:03 p.m.