Triple
T31484490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Judge of the Māori Land Court |
E803234
|
entity |
| Predicate | hasTitleInMāori |
P12386
|
FINISHED |
| Object | Te Kaiwhakawā Matua o te Kōti Whenua Māori |
—
|
NE NERFINISHED |
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: Te Kaiwhakawā Matua o te Kōti Whenua Māori | Statement: [Chief Judge of the Māori Land Court, hasTitleInMāori, Te Kaiwhakawā Matua o te Kōti Whenua Māori]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInMāori Context triple: [Chief Judge of the Māori Land Court, hasTitleInMāori, Te Kaiwhakawā Matua o te Kōti Whenua Māori]
-
A.
MāoriTitle
chosen
Indicates that an entity holds or is identified by a title in the Māori language or cultural tradition.
-
B.
hasNameInMoriori
Indicates that an entity is known by a particular name expressed in the Moriori language.
-
C.
hasTitleInEsperanto
Indicates that an entity has a specific title expressed in the Esperanto language.
-
D.
hasTitleInLanguage
Indicates that an entity has a specific title expressed in a particular language.
-
E.
hasTitleInEnglishOrthography
Indicates that an entity has a specific title expressed using English spelling and writing conventions.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: April 30, 2026, 9:34 p.m.