Triple
T31466587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Māori Language Act 1987 |
E802734
|
entity |
| Predicate | languageGrantedOfficialStatus |
P112296
|
FINISHED |
| Object | Māori language |
—
|
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: Māori language | Statement: [Māori Language Act 1987, languageGrantedOfficialStatus, Māori language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageGrantedOfficialStatus Context triple: [Māori Language Act 1987, languageGrantedOfficialStatus, Māori language]
-
A.
countryOfficialLanguageStatus
Indicates the status or role that a particular language holds as an official language within a given country.
-
B.
hasNotableLanguageWithOfficialStatusIn
Indicates that a language holds an officially recognized and notable status within a specified jurisdiction or region.
-
C.
hasLanguageOfficial
chosen
Indicates that a language holds official status within a given entity, such as a country, region, or organization.
-
D.
isVarietyOfLanguageWithOfficialStatusIn
Indicates that a particular variety of a language holds official status within a specified geopolitical entity or region.
-
E.
languageOfOfficialDuties
Indicates the language that a person or role is required or authorized to use when performing their official duties.
- 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_69f348c84c1c81908739f100ecf7394e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff84202eb081908ae21a54a4414d68 |
completed | May 9, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69ff833065e4819098579129d4ee17d3 |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 30, 2026, 9:23 p.m.