Triple
T29775517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sampit region |
E755367
|
entity |
| Predicate | primaryTraditionalLanguageUse |
P157837
|
FINISHED |
| Object | home and community domains |
—
|
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: home and community domains | Statement: [Sampit region, primaryTraditionalLanguageUse, home and community domains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTraditionalLanguageUse Context triple: [Sampit region, primaryTraditionalLanguageUse, home and community domains]
-
A.
hasPrimaryTraditionalLanguage
Indicates that one entity is the main or principal traditional language associated with another entity.
-
B.
traditionalLanguageType
Indicates that an entity’s language belongs to a traditional or historically established linguistic type or category.
-
C.
dominantTraditionalLanguage
chosen
Indicates that one language is the primary or most widely used traditional language within a given context or community.
-
D.
primaryLanguageIn
Indicates that a specified language is the main or official language used within a particular place, organization, or context.
-
E.
primaryLanguageHeritage
Indicates that one language is the main ancestral or culturally inherited language associated with an entity.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a018c6b7178819097d5450a1e3c2408 |
completed | May 11, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_6a018a4f741c8190babe721a908e2f5e |
completed | May 11, 2026, 7:50 a.m. |
Created at: April 28, 2026, 8:46 p.m.