Triple

T17683039
Position Surface form Disambiguated ID Type / Status
Subject Isneg people E440817 entity
Predicate language P15 FINISHED
Object Isneg 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: Isneg language | Statement: [Isneg people, language, Isneg language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isneg language
Context triple: [Isneg people, language, Isneg language]
  • A. Isnag language chosen
    The Isnag language is an Austronesian language spoken by the Isnag people in the northern Cordillera region of Luzon in the Philippines.
  • B. Lasgerdi language
    The Lasgerdi language is an Iranian language spoken in parts of north-central Iran and classified within the Semnani branch of Northwestern Iranian languages.
  • C. Shughni language
    Shughni is an Eastern Iranian language spoken primarily in the Pamir region of Tajikistan and Afghanistan, known for its rich oral tradition and use among Shughni ethnic communities.
  • D. Nisenan language
    The Nisenan language is an endangered Native American language traditionally spoken by the Nisenan people of the Sierra Nevada foothills and Sacramento Valley region of Northern California.
  • E. Denya language
    Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704626308190bbdd98d27beb3f24 completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:02 a.m.