Triple
T18402807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marsden Point |
E450037
|
entity |
| Predicate | distanceFromWhangārei |
P131488
|
FINISHED |
| Object | about 30 kilometres southeast |
—
|
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: about 30 kilometres southeast | Statement: [Marsden Point, distanceFromWhangārei, about 30 kilometres southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromWhangārei Context triple: [Marsden Point, distanceFromWhangārei, about 30 kilometres southeast]
-
A.
distanceToWhanganui
Indicates the measured spatial distance between a given entity and the location Whanganui.
-
B.
distanceToTauranga
Indicates the measured distance between a given entity and the location Tauranga.
-
C.
distanceToWellington
Indicates the measured distance between a given entity’s location and the location of Wellington.
-
D.
distanceToPalmerstonNorth
Indicates the spatial distance between a given location and Palmerston North.
-
E.
distanceTo Rotorua (approx km)
Indicates the approximate distance, measured in kilometers, from a given location to Rotorua.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e519537eb88190bc85d21471e27c26 |
completed | April 19, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 10:46 a.m.