Triple
T30959936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karekari |
E788782
|
entity |
| Predicate | distanceFromAucklandCityCentre |
P90579
|
FINISHED |
| Object | approximately 35 kilometres west |
—
|
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: approximately 35 kilometres west | Statement: [Karekari, distanceFromAucklandCityCentre, approximately 35 kilometres west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAucklandCityCentre Context triple: [Karekari, distanceFromAucklandCityCentre, approximately 35 kilometres west]
-
A.
distanceFromAuckland_km
chosen
Indicates the physical distance, measured in kilometers, between an entity’s location and Auckland.
-
B.
distanceFromWhangarei
Indicates the spatial distance between a given location and Whangarei.
-
C.
distanceFromKaitaia
Indicates the measured distance between a given location or entity and Kaitaia.
-
D.
distanceToWellington
Indicates the measured distance between a given entity’s location and the location of Wellington.
-
E.
distanceToGisborne_km
Indicates the distance, measured in kilometers, from a given place or entity to Gisborne.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a017bc21b048190b9c680013de203b6 |
completed | May 11, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_6a017aa09c4481909c3b55e0cd13501e |
completed | May 11, 2026, 6:43 a.m. |
Created at: April 29, 2026, 8:54 p.m.