Triple

T1223914
Position Surface form Disambiguated ID Type / Status
Subject Malayo-Polynesian languages E26283 entity
Predicate includesLanguage P2177 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: [Malayo-Polynesian languages, includesLanguage, Palauan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palauan language
Context triple: [Malayo-Polynesian languages, includesLanguage, 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. Micronesian languages
    Micronesian languages are a group of closely related Oceanic Austronesian languages spoken across the Micronesian islands in the western Pacific.
  • E. Solomon Islands Pijin
    Solomon Islands Pijin is an English-based creole language widely used as a lingua franca across the Solomon Islands.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be233fd88190996faf4105c0b8d7 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a0d69f88190b3352016289b4a18 completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:47 p.m.