Triple

T21603636
Position Surface form Disambiguated ID Type / Status
Subject Duke of York language E533113 entity
Predicate isRelatedTo P37 FINISHED
Object Tolai language NE NERFINISHED

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: Tolai language | Statement: [Duke of York language, isRelatedTo, Tolai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tolai language
Context triple: [Duke of York language, isRelatedTo, Tolai language]
  • A. Tolai language chosen
    The Tolai language is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • B. Talaud language
    The Talaud language is an Austronesian language spoken by the indigenous population of the Talaud Islands in North Sulawesi, Indonesia.
  • C. Tobelo language
    The Tobelo language is an Austronesian language spoken by the Tobelo people of northern Halmahera in Indonesia.
  • D. Tawala language
    Tawala language is an Austronesian language of the Papuan Tip region of Papua New Guinea, spoken primarily in coastal communities of Milne Bay Province.
  • E. Tagakaulo language
    Tagakaulo language is an Austronesian language spoken by the Tagakaulo people of Mindanao in the southern Philippines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e3e18c8190b9e0626c7d16805b completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.