Triple

T25169260
Position Surface form Disambiguated ID Type / Status
Subject Southwest Papua Province E630271 entity
Predicate hasEthnolinguisticGroup P1898 FINISHED
Object Moi people
The Moi people are an indigenous ethnic group of Southwest Papua in Indonesia, known for their distinct Papuan language and traditional forest-based way of life.
 E2267710 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: Moi people | Statement: [Southwest Papua Province, hasEthnolinguisticGroup, Moi 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: Moi people
Triple: [Southwest Papua Province, hasEthnolinguisticGroup, Moi people]
Generated description
The Moi people are an indigenous ethnic group of Southwest Papua in Indonesia, known for their distinct Papuan language and traditional forest-based way of life.

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_69e75a87c9b88190ab60731902a99750 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f46d44f48c8190943b3b22651be3c4 completed May 1, 2026, 9:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a41b27cfcb88190b700f5be4db760d2 completed June 28, 2026, 11:47 p.m.
NEDg Description generation batch_6a41b361ef3c8190beaed54507ba59d5 completed June 28, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_6a41b4aff75081909d0946a1c0992447 completed June 28, 2026, 11:56 p.m.
Created at: April 21, 2026, 12:19 p.m.