Triple

T33019339
Position Surface form Disambiguated ID Type / Status
Subject Takuu language E844860 entity
Predicate sharesLexicalSimilarityWith P11829 FINISHED
Object Nuguria language
The Nuguria language is a Polynesian outlier language spoken on the Nuguria Atoll in Papua New Guinea, closely related to other Polynesian languages of the region.
E2033077 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: Nuguria language | Statement: [Takuu language, sharesLexicalSimilarityWith, Nuguria language]
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: Nuguria language
Triple: [Takuu language, sharesLexicalSimilarityWith, Nuguria language]
Generated description
The Nuguria language is a Polynesian outlier language spoken on the Nuguria Atoll in Papua New Guinea, closely related to other Polynesian languages of the region.

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_69f3494f3b4081909dccf2af34372a26 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ff8d5cedf08190a16f3438d579e369 completed May 9, 2026, 7:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34dadb626081909bb5938591359d87 completed June 19, 2026, 5:59 a.m.
NEDg Description generation batch_6a34dd3ccba48190a7ad7e5c57c5e609 completed June 19, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a34ddaa95a88190a00840810b4013f6 completed June 19, 2026, 6:11 a.m.
Created at: May 1, 2026, 1:23 a.m.