Triple

T21500166
Position Surface form Disambiguated ID Type / Status
Subject indigenous peoples of El Salvador E530453 entity
Predicate language P15 FINISHED
Object Nawat 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 | Statement: [indigenous peoples of El Salvador, language, Nawat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nawat
Context triple: [indigenous peoples of El Salvador, language, Nawat]
  • A. Nawat chosen
    Nawat is an indigenous Uto-Aztecan language of El Salvador, traditionally spoken by the Pipil people and now the focus of revitalization efforts.
  • B. Nawa
    Nawa is a town in southern Syria historically known as the birthplace of the prominent Islamic scholar Imam Al-Nawawi.
  • C. Nawa
    Nawa is a town in Helmand Province, Afghanistan, serving as the administrative and economic center of Nawa-I-Barakzayi District.
  • D. Nawar
    Nawar are a traditionally itinerant ethnic group of the Middle East, culturally and linguistically related to the Dom people and often associated with peripatetic trades and marginalized social status.
  • E. Nawalane
    Nawalane is a residential neighborhood located within the Lyari area of Karachi, Pakistan.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5ae154819090299773b373b921 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:24 p.m.