Triple
T18688652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papakura District Council |
E456931
|
entity |
| Predicate | governedUrbanArea |
P74637
|
FINISHED |
| Object | Papakura urban area |
—
|
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: Papakura urban area | Statement: [Papakura District Council, governedUrbanArea, Papakura urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governedUrbanArea Context triple: [Papakura District Council, governedUrbanArea, Papakura urban area]
-
A.
governedIn
Indicates that one entity exercised governing authority or administrative control within a specified place or jurisdiction.
-
B.
relatedUrbanArea
Indicates that one urban area is geographically or functionally associated with another urban area, such as being nearby, connected, or part of the same broader metropolitan context.
-
C.
formsUrbanAreaWith
Indicates that two or more settlements are geographically and functionally connected so that together they constitute a single continuous urban area.
-
D.
localGovernmentAreaOf
chosen
Indicates that one entity is the local government area within whose jurisdiction or administrative boundaries the other entity is located.
-
E.
urbanAreaName
Indicates the name assigned to an urban area or city within a given context.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2fc2cc8190a4726526a714a5eb |
completed | April 19, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.