Triple

T30770134
Position Surface form Disambiguated ID Type / Status
Subject Pacoh-Ta’Oih continuum E783499 entity
Predicate spokenBy P2181 FINISHED
Object Ta’Oih people
The Ta’Oih people are an indigenous ethnic group of mainland Southeast Asia, primarily living in the border regions of Laos and Vietnam, with their own distinct language, culture, and traditions.
 E2291438 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: Ta’Oih people | Statement: [Pacoh-Ta’Oih continuum, spokenBy, Ta’Oih people]
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: Ta’Oih people
Triple: [Pacoh-Ta’Oih continuum, spokenBy, Ta’Oih people]
Generated description
The Ta’Oih people are an indigenous ethnic group of mainland Southeast Asia, primarily living in the border regions of Laos and Vietnam, with their own distinct language, culture, and traditions.

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_69f224b1519081908b9db003fd2073e0 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68fc0ca388190a0c762deb514748d completed May 2, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5c5d4bcd4081908f010696f3bb6fb5 completed July 19, 2026, 5:14 a.m.
NEDg Description generation batch_6a5c5dbbe9108190b554247707e47c0e completed July 19, 2026, 5:16 a.m.
NED2 Entity disambiguation (via description) batch_6a5c5e0bfb0c8190ab2cda52b27261dd completed July 19, 2026, 5:18 a.m.
Created at: April 29, 2026, 8:40 p.m.