Triple

T25903222
Position Surface form Disambiguated ID Type / Status
Subject Wejewa E652674 entity
Predicate spokenBy P2181 FINISHED
Object Wejewa people
The Wejewa people are an indigenous ethnic group from the island of Sumba in eastern Indonesia, known for their distinct Austronesian language and rich megalithic and ritual traditions.
E2286990 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: Wejewa people | Statement: [Wejewa, spokenBy, Wejewa 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: Wejewa people
Triple: [Wejewa, spokenBy, Wejewa people]
Generated description
The Wejewa people are an indigenous ethnic group from the island of Sumba in eastern Indonesia, known for their distinct Austronesian language and rich megalithic and ritual 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_69e7ab3d3f8481909bc53ed64c06af33 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f603bbcc5c8190a4c63ef469e78276 completed May 2, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a474fc3f77c819098a86d1edae856d4 completed July 3, 2026, 5:59 a.m.
NEDg Description generation batch_6a4753e6cd188190b46279c3424d8e09 completed July 3, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_6a475446bc4081909c3e5f2aa5db96c2 completed July 3, 2026, 6:18 a.m.
Created at: April 22, 2026, 8:26 a.m.