Triple

T21607487
Position Surface form Disambiguated ID Type / Status
Subject Central Papuan Tip language E533214 entity
Predicate hasMember P10 FINISHED
Object Sinagoro 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: Sinagoro language | Statement: [Central Papuan Tip language, hasMember, Sinagoro language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinagoro language
Context triple: [Central Papuan Tip language, hasMember, Sinagoro language]
  • A. Sinagoro–Keapara languages chosen
    The Sinagoro–Keapara languages are a subgroup of closely related Papuan languages spoken in the Central Papuan Tip region of southeastern Papua New Guinea.
  • B. Embaloh language
    The Embaloh language is an Austronesian language spoken by the Embaloh people of West Kalimantan in Borneo, Indonesia.
  • C. Simbo language
    The Simbo language is an Oceanic language spoken on Simbo Island in the Western Province of the Solomon Islands.
  • D. Banggai language
    The Banggai language is an Austronesian language spoken by the Banggai people in the Banggai Islands and nearby coastal areas of Central Sulawesi, Indonesia.
  • E. Sungor language
    The Sungor language is an Eastern Sudanic language spoken by the Sungor people of eastern Chad and western Sudan.
  • 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_69ef17e6378881908678dc903b8ba6ac completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.