Triple

T13093752
Position Surface form Disambiguated ID Type / Status
Subject Kepulauan Sangihe Regency E310527 entity
Predicate hasLocalLanguage P4185 FINISHED
Object Sangir language E619188 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: Sangir language | Statement: [Kepulauan Sangihe Regency, hasLocalLanguage, Sangir language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sangir language
Context triple: [Kepulauan Sangihe Regency, hasLocalLanguage, Sangir language]
  • A. Sangir language chosen
    The Sangir language is an Austronesian language spoken primarily on the Sangihe Islands in Indonesia and parts of the southern Philippines.
  • B. Sangisari language
    The Sangisari language is an endangered Northwestern Iranian language spoken by a small community in northern Iran, notable for its distinct phonology and conservative grammatical features.
  • C. Sangpang language
    The Sangpang language is a lesser-known Kiranti language spoken by an indigenous community in eastern Nepal.
  • D. Sungor language
    The Sungor language is an Eastern Sudanic language spoken by the Sungor people of eastern Chad and western Sudan.
  • E. Sangtam language
    Sangtam language is a Sino-Tibetan language spoken primarily by the Sangtam Naga people in the Indian state of Nagaland.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813cd1b881909871a318fdd60672 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d617f1908190a2fa147bedede54f completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:03 p.m.