Triple

T11975120
Position Surface form Disambiguated ID Type / Status
Subject Ivilyuat E285019 entity
Predicate hasAlternateSpelling P457 FINISHED
Object Iviatim E280791 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: Iviatim | Statement: [Ivilyuat, hasAlternateSpelling, Iviatim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iviatim
Context triple: [Ivilyuat, hasAlternateSpelling, Iviatim]
  • A. Iviatim chosen
    Iviatim is an alternative name for the Cahuilla language, a Uto-Aztecan language traditionally spoken by the Cahuilla people of Southern California.
  • B. Ivanychi
    Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
  • C. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • D. Ivisan
    Ivisan is a coastal municipality in the province of Capiz in the Western Visayas region of the Philippines.
  • E. Viotá
    Viotá is a rural municipality in the Cundinamarca department of Colombia, known for its coffee production and location in the Andean region southwest of Bogotá.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9039107e48190ae4c4efd6257dd3c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4598d62a8819087f83912d1e45b27 completed May 1, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:46 p.m.