Triple

T11906863
Position Surface form Disambiguated ID Type / Status
Subject Na'vi E283292 entity
Predicate language P15 FINISHED
Object Na'vi language E507841 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: Na'vi language | Statement: [Na'vi, language, Na'vi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Na'vi language
Context triple: [Na'vi, language, Na'vi language]
  • A. Naʼvi (constructed language) chosen
    Naʼvi is a constructed language created by linguist Paul Frommer for the fictional indigenous people in James Cameron’s film "Avatar," featuring its own grammar, vocabulary, and phonology.
  • B. Kaera language
    The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
  • C. Teiwa language
    Teiwa language is a Papuan language spoken by the Teiwa people on Pantar Island in eastern Indonesia.
  • D. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • E. Esselen language
    The Esselen language is an extinct and poorly documented Native American language once spoken by the Esselen people of coastal central California.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e5264b2081909bda6c24abb89725 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418487f448190b6e24fb2c0409e3f completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.