Triple

T647138
Position Surface form Disambiguated ID Type / Status
Subject Micronesia E11264 entity
Predicate hasLanguage P15 FINISHED
Object Palauan language E53119 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: Palauan language | Statement: [Micronesia, hasLanguage, Palauan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palauan language
Context triple: [Micronesia, hasLanguage, Palauan language]
  • A. Palauan chosen
    Palauan is an Austronesian language spoken primarily in the Republic of Palau in the western Pacific Ocean.
  • B. Chuukic–Pohnpeic languages
    The Chuukic–Pohnpeic languages are a group of closely related Micronesian languages spoken primarily in the central and eastern Caroline Islands of the western Pacific.
  • C. Nauruan
    Nauruan is an Austronesian language spoken primarily on the Pacific island nation of Nauru.
  • D. Solomon Islands Pijin
    Solomon Islands Pijin is an English-based creole language widely used as a lingua franca across the Solomon Islands.
  • E. Bikol language
    The Bikol language is an Austronesian language spoken primarily in the Bicol Region of the Philippines, known for its several regional varieties and close relation to other Central Philippine languages.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f1cb24481909d3b41a56b29dee9 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a716de88190854e13fb5143b9b3 completed March 2, 2026, 1:02 p.m.
Created at: March 1, 2026, 7:36 p.m.