Triple
T25982777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whaka a Te Wera |
E646114
|
entity |
| Predicate | isInPolity |
P159632
|
FINISHED |
| Object | New Zealand |
—
|
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: New Zealand | Statement: [Whaka a Te Wera, isInPolity, New Zealand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInPolity Context triple: [Whaka a Te Wera, isInPolity, New Zealand]
-
A.
hasPolity
Indicates that one entity possesses, controls, or is associated with a particular political organization, governance structure, or state-like authority.
-
B.
governsInPoliticalSystem
Indicates that one entity exercises authoritative control or rule over another entity within a specified political system or structure.
-
C.
participatesInPoliticsOf
Indicates involvement or active engagement by one entity in the political processes, affairs, or governance activities of another entity.
-
D.
hasMemberInPolitics
Indicates that an entity has at least one member who is involved in political roles, activities, or institutions.
-
E.
isPoliticalOffice
Indicates that the subject is a formal governmental or political position held within a public institution or authority.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60511cfe88190b2b88b40fb4ec269 |
completed | May 2, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:54 a.m.