Triple

T21479341
Position Surface form Disambiguated ID Type / Status
Subject Wik peoples E529946 entity
Predicate hasSubgroup P747 FINISHED
Object Wik-Me’nh people
The Wik-Me’nh people are an Indigenous Australian group from western Cape York Peninsula in Queensland, forming one of the distinct Wik-speaking communities with their own language and cultural traditions.
 E1946230 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: Wik-Me’nh people | Statement: [Wik peoples, hasSubgroup, Wik-Me’nh 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: Wik-Me’nh people
Triple: [Wik peoples, hasSubgroup, Wik-Me’nh people]
Generated description
The Wik-Me’nh people are an Indigenous Australian group from western Cape York Peninsula in Queensland, forming one of the distinct Wik-speaking communities with their own language and cultural 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea1a37a88190845810cbcacbad65 completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29387f8610819093317dfd5a296dc2 completed June 10, 2026, 10:12 a.m.
NEDg Description generation batch_6a29399635288190a730fb5a0d03b20a completed June 10, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_6a293aadb0248190929ceb43625c5b28 completed June 10, 2026, 10:21 a.m.
Created at: April 16, 2026, 6:20 p.m.