Triple
T13464287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makassarese |
E311454
|
entity |
| Predicate | regionLanguageStatus |
P10892
|
FINISHED |
| Object | one of the major regional languages of South Sulawesi |
—
|
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: one of the major regional languages of South Sulawesi | Statement: [Makassarese, regionLanguageStatus, one of the major regional languages of South Sulawesi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionLanguageStatus Context triple: [Makassarese, regionLanguageStatus, one of the major regional languages of South Sulawesi]
-
A.
regionLanguage
chosen
Indicates that a particular language is used or officially recognized within a specific geographic region.
-
B.
nationalLanguageStatus
Indicates that a language holds official or nationally recognized status within a country or political entity.
-
C.
languageStatusSource
Indicates the source or authority from which the information about a language’s status is derived.
-
D.
ethnicLanguageStatus
Indicates the status or role of a language in relation to a particular ethnic group (e.g., primary, secondary, heritage, or minority language).
-
E.
hasLanguageStatus
Indicates that an entity has a particular status or condition regarding its language use, recognition, or classification.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0f1830819085700b4521e44678 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:41 p.m.