Triple

T16860826
Position Surface form Disambiguated ID Type / Status
Subject Arniya E409904 entity
Predicate hasAlternativeName P39 FINISHED
Object Arniya E409904 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: Arniya | Statement: [Arniya, hasAlternativeName, Arniya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arniya
Context triple: [Arniya, hasAlternativeName, Arniya]
  • A. Arniya chosen
    Arniya is an alternative name for the Khowar language, an Indo-Aryan language spoken primarily in the Chitral region of northern Pakistan.
  • B. Arni
    Arni is a town in Tamil Nadu, India, historically notable as the site of the Battle of Arni during the Second Carnatic War.
  • C. Arni
    Arni is a town in the Yavatmal district of Maharashtra, India, known for its regional markets and agricultural surroundings.
  • D. Arnara
    Arnara is a small municipality in the Lazio region of central Italy, located in the province of Frosinone.
  • E. Ariany
    Ariany is a small rural town on the Spanish island of Mallorca, known for its traditional Mallorcan character and agricultural surroundings.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b502bc048190baa5a83015407080 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb274ba48190951acde0821e05a0 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.