Triple
T38214485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kangjia people |
E1010645
|
entity |
| Predicate | linguisticEndangermentCause |
P45185
|
FINISHED |
| Object | shift to Chinese language |
—
|
LITERAL 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: shift to Chinese language | Statement: [Kangjia people, linguisticEndangermentCause, shift to Chinese language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticEndangermentCause Context triple: [Kangjia people, linguisticEndangermentCause, shift to Chinese language]
-
A.
languageEndangermentFactors
chosen
Indicates the various social, political, economic, and cultural conditions that contribute to a language becoming vulnerable, endangered, or extinct.
-
B.
endangeredLanguage
Indicates that a language is at risk of falling out of use and potentially becoming extinct due to having too few active speakers or insufficient intergenerational transmission.
-
C.
extinctionOfLanguage
Indicates the event or process by which a language ceases to be spoken or used by any living community.
-
D.
languageDeathCause
Indicates the cause or factor responsible for the extinction or disappearance of a language.
-
E.
linguisticIsolation
Indicates a condition where an entity is separated from others in terms of language, lacking shared or effective linguistic communication.
- F. None of above.
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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.