Triple

T14423994
Position Surface form Disambiguated ID Type / Status
Subject Lolo-Burmese E357649 entity
Predicate includes P1393 FINISHED
Object Hani language E728085 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: Hani language | Statement: [Lolo-Burmese, includes, Hani language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hani language
Context triple: [Lolo-Burmese, includes, Hani language]
  • A. Hani language chosen
    The Hani language is a Tibeto-Burman language spoken primarily by the Hani people in southwestern China and neighboring regions of Southeast Asia.
  • B. Hiaki language
    Hiaki language is an Uto-Aztecan language spoken primarily by the Yaqui (Hiaki) people of northern Mexico and the southwestern United States.
  • C. Hanis language
    The Hanis language is an endangered Native American language traditionally spoken by the Coos people of the southern Oregon coast.
  • D. Huarijio language
    The Huarijio language is an indigenous Uto-Aztecan language spoken by the Huarijio people of northwestern Mexico, primarily in the Sierra Madre Occidental region.
  • E. Ahirani language
    Ahirani language is an Indo-Aryan language spoken primarily in the Khandesh region of Maharashtra, India, known for its close relation to Marathi and distinct regional dialectal features.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91123f848190ba3fb18a76c2d24c completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcd2a908190ad7d5ebf11b41551 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.