Triple

T32603525
Position Surface form Disambiguated ID Type / Status
Subject Itunyoso E833442 entity
Predicate associatedWithLanguage P2830 FINISHED
Object Itunyoso Trique language
The Itunyoso Trique language is an indigenous Oto-Manguean language spoken by the Trique people in and around the community of Itunyoso in Oaxaca, Mexico.
E2015041 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: Itunyoso Trique language | Statement: [Itunyoso, associatedWithLanguage, Itunyoso Trique language]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Itunyoso Trique language
Triple: [Itunyoso, associatedWithLanguage, Itunyoso Trique language]
Generated description
The Itunyoso Trique language is an indigenous Oto-Manguean language spoken by the Trique people in and around the community of Itunyoso in Oaxaca, Mexico.

Provenance (5 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_69f3492ab63c8190aec24d5003b47c29 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c6c4b418819089ad5fb4d768a129 completed May 3, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34861488348190bb57fcd0b3443685 completed June 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a34892fb44c819086687de35e99b882 completed June 19, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_6a34899e7afc8190bfda3571653a9f05 completed June 19, 2026, 12:13 a.m.
Created at: May 1, 2026, 1:05 a.m.