Triple
T36304665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lingao language |
E893911
|
entity |
| Predicate | regionOfficialLanguageOf |
P112296
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Lingao language, regionOfficialLanguageOf, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfficialLanguageOf Context triple: [Lingao language, regionOfficialLanguageOf, none]
-
A.
declaresOfficialLanguageOf
Indicates that an authority formally designates a particular language as the official language of a specified entity or jurisdiction.
-
B.
countryOfficialLanguageStatus
Indicates the status or role that a particular language holds as an official language within a given country.
-
C.
hasOfficialLanguageOfLocation
Indicates that a location has a specified language recognized as its official language.
-
D.
shareOfficialLanguage
Indicates that two entities have at least one official language in common.
-
E.
hasLanguageOfficial
chosen
Indicates that a language holds official status within a given entity, such as a country, region, or organization.
- 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00144238708190acbec3f791cc873e |
completed | May 10, 2026, 5:14 a.m. |
| PD | Predicate disambiguation | batch_6a00120244a4819090ef39070aba9d99 |
completed | May 10, 2026, 5:05 a.m. |
Created at: May 3, 2026, 4:09 p.m.