Triple

T12576438
Position Surface form Disambiguated ID Type / Status
Subject Kangjia language E300216 entity
Predicate hasLoanwordsFrom P506 FINISHED
Object Tibetan language E109616 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: Tibetan language | Statement: [Kangjia language, hasLoanwordsFrom, Tibetan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tibetan language
Context triple: [Kangjia language, hasLoanwordsFrom, Tibetan language]
  • A. Tibetan chosen
    Tibetan is a Sino-Tibetan language spoken primarily in Tibet and surrounding Himalayan regions, serving as the liturgical language of Tibetan Buddhism and a key marker of Tibetan cultural identity.
  • B. Yamphu language
    The Yamphu language is a Kiranti Sino-Tibetan language spoken by the Yamphu ethnic community in eastern Nepal.
  • C. Sherpa language
    The Sherpa language is a Tibetic language spoken primarily by the Sherpa people of Nepal’s Himalayan region, especially in areas around Mount Everest.
  • D. Monpa language
    The Monpa language is a Tibeto-Burman language spoken by the Monpa people of Arunachal Pradesh in northeastern India and adjacent regions of Tibet.
  • E. Gyel dialect
    The Gyel dialect is a regional variety of the Berom language spoken by the Berom people of central Nigeria.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a73c148190bba8f16b1232fd46 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67190a20c8190918b465b67d25869 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 4:47 p.m.