Triple
T4526177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northland Region |
E106182
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kaipara District |
E450012
|
NE 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: Kaipara District | Statement: [Northland Region, contains, Kaipara District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaipara District Context triple: [Northland Region, contains, Kaipara District]
-
A.
Kaipara District
chosen
Kaipara District is a largely rural territorial authority area in northern New Zealand known for its extensive coastline, harbours, and agricultural communities.
-
B.
Tupe District
Tupe District is a small Andean district in Peru notable for preserving the indigenous Jaqaru language and traditional highland culture.
-
C.
Koura District
Koura District is an administrative district in the North Governorate of Lebanon, known for its olive groves, agricultural production, and mix of coastal and inland towns.
-
D.
Jiwaka Province
Jiwaka Province is a landlocked province in the central highlands of Papua New Guinea, known for its fertile valleys, coffee production, and diverse indigenous cultures.
-
E.
Korangi District
Korangi District is an administrative district in the southeastern part of Karachi, Pakistan, known for its large industrial zones and densely populated residential areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57760f4481908f69ce82be63d7f8 |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacd8d7b0819082c8797a2f819cd5 |
completed | March 20, 2026, 8:23 p.m. |
Created at: March 20, 2026, 1:03 p.m.