Triple
T13293929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otorohanga |
E316628
|
entity |
| Predicate | distanceToWaitomoCaves |
P109385
|
FINISHED |
| Object | about 15 km north |
—
|
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 15 km north | Statement: [Otorohanga, distanceToWaitomoCaves, about 15 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWaitomoCaves Context triple: [Otorohanga, distanceToWaitomoCaves, about 15 km north]
-
A.
distanceTo Rotorua (approx km)
Indicates the approximate distance, measured in kilometers, from a given location to Rotorua.
-
B.
distanceToWhanganui
Indicates the measured spatial distance between a given entity and the location Whanganui.
-
C.
distanceTo Taupō (approx km)
Indicates the approximate distance in kilometers between an entity and Taupō.
-
D.
distanceFromKaunakakaiMiles
Indicates the physical distance, measured in miles, between an entity and the location of Kaunakakai.
-
E.
distanceToGreymouth
Indicates the spatial distance between a given entity or location and the town of Greymouth.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:28 p.m.