Triple

T13658962
Position Surface form Disambiguated ID Type / Status
Subject Asa E326933 entity
Predicate sharesStateWith P8274 FINISHED
Object Kaiama E328769 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: Kaiama | Statement: [Asa, sharesStateWith, Kaiama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaiama
Context triple: [Asa, sharesStateWith, Kaiama]
  • A. Kaiama chosen
    Kaiama is a town and local government area in Nigeria known for its location within Kwara State and its predominantly rural, agrarian communities.
  • B. Kaiama
    Kaiama is a town in Bayelsa State, Nigeria, known as the administrative center of the Kolokuma/Opokuma Local Government Area.
  • C. Maleka
    Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
  • D. Tamaran
    Tamaran is a fictional alien planet in the DC Comics universe, best known as the war-torn, sun-powered home of the superheroine Starfire and her people, the Tamaraneans.
  • E. Kirsha
    Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61f0d808190b1cd2a6ba0d930eb completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b06c5d081909d31b8a537c94edb completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:52 p.m.