Triple

T23007915
Position Surface form Disambiguated ID Type / Status
Subject Pipil people E572827 entity
Predicate language P15 FINISHED
Object Nawat language NE NERFINISHED

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: Nawat language | Statement: [Pipil people, language, Nawat language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nawat language
Context triple: [Pipil people, language, Nawat language]
  • A. Nawat language chosen
    The Nawat language is an indigenous Uto-Aztecan language of western El Salvador, historically spoken by the Pipil people and now critically endangered.
  • B. Nawuri language
    The Nawuri language is a Niger-Congo language spoken by the Nawuri people of Ghana, primarily in the northern Volta and Oti regions.
  • C. Sayawa language
    The Sayawa language is a Chadic language spoken primarily by the Sayawa people in Bauchi State, northeastern Nigeria.
  • D. Tai Nüa language
    The Tai Nüa language is a Southwestern Tai language spoken primarily by the Tai Nüa people in parts of China and Southeast Asia, closely related to other Tai languages such as Thai and Lao.
  • E. Ahirani language
    Ahirani language is an Indo-Aryan language spoken primarily in the Khandesh region of Maharashtra, India, known for its close relation to Marathi and distinct regional dialectal features.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835802a881908fe817c3fa728a82 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.