Triple

T31707907
Position Surface form Disambiguated ID Type / Status
Subject Dawera-Daweloor language E809231 entity
Predicate ethnicGroup P194 FINISHED
Object Daweloor people
The Daweloor people are an indigenous ethnic group from the Maluku Islands of eastern Indonesia, traditionally associated with the Dawera-Daweloor language and a maritime island culture.
E2293199 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: Daweloor people | Statement: [Dawera-Daweloor language, ethnicGroup, Daweloor 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: Daweloor people
Triple: [Dawera-Daweloor language, ethnicGroup, Daweloor people]
Generated description
The Daweloor people are an indigenous ethnic group from the Maluku Islands of eastern Indonesia, traditionally associated with the Dawera-Daweloor language and a maritime island culture.

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_69f348df4e048190a4a5a9932ada78d6 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aace5d548190b5e46315fde24e0e completed May 3, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7a7608a4b08190ab4e81879ec7d2ff completed Aug. 11, 2026, 1:08 a.m.
NEDg Description generation batch_6a7a764c9738819090f97477e2b9ad4f completed Aug. 11, 2026, 1:09 a.m.
NED2 Entity disambiguation (via description) batch_6a7a7699b8a08190820146ef928575d5 completed Aug. 11, 2026, 1:10 a.m.
Created at: April 30, 2026, 11:14 p.m.