Triple
T19368685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tarawera |
E484472
|
entity |
| Predicate | distanceToRotorua |
P104414
|
FINISHED |
| Object | about 24 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 24 kilometres southeast | Statement: [Mount Tarawera, distanceToRotorua, about 24 kilometres southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToRotorua Context triple: [Mount Tarawera, distanceToRotorua, about 24 kilometres southeast]
-
A.
distanceTo Rotorua (approx km)
chosen
Indicates the approximate distance, measured in kilometers, from a given location to Rotorua.
-
B.
distanceToTauranga
Indicates the measured distance between a given entity and the location Tauranga.
-
C.
distanceFromWhangārei
Indicates the measured distance between a given place or object and the location of Whangārei.
-
D.
distanceFromWhangarei
Indicates the spatial distance between a given location and Whangarei.
-
E.
distanceFromKaitaia
Indicates the measured distance between a given location or entity and Kaitaia.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619ae6838819080584d60cbd58bbd |
completed | April 20, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.