Triple
T34449898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngāti Korokī Kahukura |
E884333
|
entity |
| Predicate | hasContemporaryFocus |
P205435
|
FINISHED |
| Object | iwi development |
—
|
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: iwi development | Statement: [Ngāti Korokī Kahukura, hasContemporaryFocus, iwi development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContemporaryFocus Context triple: [Ngāti Korokī Kahukura, hasContemporaryFocus, iwi development]
-
A.
hasContemporaryCenter
Indicates that an entity possesses or includes a central feature, hub, or focal area that is modern or current in style, function, or time period.
-
B.
hasNotableContemporary
Indicates that one entity is recognized as a significant or prominent contemporary (living or active in the same period) of another entity.
-
C.
contemporaryPresenceIn
Indicates that an entity exists or is present in a particular place, context, or timeframe at the same time as another specified reference point or entity.
-
D.
hasContemporaryActivity
Indicates that two activities occur during the same time period or overlap in time.
-
E.
contemporaryWith
Indicates that two entities existed, occurred, or were active during the same time period.
- 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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2 a.m.