Triple

T16666356
Position Surface form Disambiguated ID Type / Status
Subject Cahitan E404991 entity
Predicate hasAlternativeName P39 FINISHED
Object Cahita E1038367 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: Cahita | Statement: [Cahitan, hasAlternativeName, Cahita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cahita
Context triple: [Cahitan, hasAlternativeName, Cahita]
  • A. Cahita chosen
    Cahita is a branch of the Uto-Aztecan language family that historically encompassed several closely related indigenous languages of northwestern Mexico, including Mayo and Yaqui.
  • B. Chakesar
    Chakesar is a town and administrative center in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain and agricultural surroundings.
  • C. Okyar
    Okyar is a Turkish surname most notably associated with Fethi Okyar, an important early 20th-century Turkish statesman and diplomat.
  • D. Metehara
    Metehara is a town in central Ethiopia known for its sugar plantations and proximity to both the Awash National Park and Lake Basaka.
  • E. Kalsa
    Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9cd7ec819084aa9b2830874bf5 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d31372c8190b9d73a9b7db51f0f completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:18 a.m.