Triple

T1322835
Position Surface form Disambiguated ID Type / Status
Subject Carolinean languages E28257 entity
Predicate hasPart P35 FINISHED
Object Puluwatese language E147717 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: Puluwatese language | Statement: [Carolinean languages, hasPart, Puluwatese language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puluwatese language
Context triple: [Carolinean languages, hasPart, Puluwatese language]
  • A. Puluwatese language chosen
    The Puluwatese language is a Micronesian language spoken primarily on Puluwat Atoll in the Federated States of Micronesia, known for its rich oral traditions and sophisticated navigational vocabulary.
  • B. Pulapese language
    Pulapese is an Austronesian language of the Chuukic subgroup spoken primarily on Pulap Atoll in the Federated States of Micronesia.
  • C. Puyuma language
    The Puyuma language is an endangered Austronesian language spoken by the Puyuma Indigenous people of southeastern Taiwan.
  • D. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • E. Saluan language
    The Saluan language is an Austronesian language spoken by the Saluan people of central and eastern Sulawesi, Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19b76b48190aa8857b80971a842 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62764d88190b7d1fca10835f560 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:55 p.m.