Triple
T10443755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cham script |
E246231
|
entity |
| Predicate | scriptUserCommunity |
P94060
|
FINISHED |
| Object | ethnic minority in Vietnam |
—
|
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: ethnic minority in Vietnam | Statement: [Cham script, scriptUserCommunity, ethnic minority in Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptUserCommunity Context triple: [Cham script, scriptUserCommunity, ethnic minority in Vietnam]
-
A.
communityAspect
Indicates that something pertains to, reflects, or influences the communal or social dimension of a group or community.
-
B.
notableUserCommunity
Indicates that a user has a significant or distinguished presence, role, or recognition within a particular community.
-
C.
formsCommunityIn
Indicates that an entity comes together with others to establish or participate in a community within a particular context or location.
-
D.
communityProcess
Indicates a collaborative, often participatory process carried out by or within a community to make decisions, solve problems, or manage shared activities.
-
E.
sharesCommunityWith
Indicates that two entities belong to or participate in the same community or communal group.
- F. None of above. chosen
Provenance (4 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:15 p.m.