Triple
T32278112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hmong Thai script |
E824614
|
entity |
| Predicate | writingSystemStatusInThailand |
P7443
|
FINISHED |
| Object | community-based |
—
|
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: community-based | Statement: [Hmong Thai script, writingSystemStatusInThailand, community-based]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingSystemStatusInThailand Context triple: [Hmong Thai script, writingSystemStatusInThailand, community-based]
-
A.
writingSystemStatus
chosen
Indicates the current functional or sociolinguistic state of a writing system, such as whether it is actively used, obsolete, official, or endangered.
-
B.
statusInThailand
Indicates the legal, social, or official standing or condition an entity holds specifically within the context of Thailand.
-
C.
workStatusInThailand
Indicates the current legal or employment status of a person with respect to working in Thailand.
-
D.
writingSystem
Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
-
E.
writingSystemUsedIn
Indicates that a particular writing system is employed for written communication within a given language, region, or context.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bcc5e6608190afd4e2b9e6774f5e |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:43 a.m.