Triple

T12225870
Position Surface form Disambiguated ID Type / Status
Subject Ekpeye E291350 entity
Predicate primaryLocation P3231 FINISHED
Object Ahoada E291346 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: Ahoada | Statement: [Ekpeye, primaryLocation, Ahoada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahoada
Context triple: [Ekpeye, primaryLocation, Ahoada]
  • A. Ahoada chosen
    Ahoada is a prominent town and administrative center in southern Nigeria, located in the oil-rich Niger Delta region.
  • B. Unaaha
    Unaaha is a town in Indonesia that serves as an administrative and population center within the province of Southeast Sulawesi.
  • C. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • D. Ahone
    Ahone is the benevolent creator god in the traditional religion of the Powhatan people of Virginia.
  • E. Bas-Oha
    Bas-Oha is a village and district of the municipality of Wanze in the province of Liège, Belgium.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca2101c8190955c36704935036a completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa9023881909f8373e02d2cad4b completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.