Triple
T12185737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raetihi |
E290328
|
entity |
| Predicate | distanceToNationalParkVillage |
P103642
|
FINISHED |
| Object | about 27 kilometres |
—
|
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 27 kilometres | Statement: [Raetihi, distanceToNationalParkVillage, about 27 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNationalParkVillage Context triple: [Raetihi, distanceToNationalParkVillage, about 27 kilometres]
-
A.
distanceToSequoiaNationalParkEntrance
Indicates the physical distance between a given location and the entrance of Sequoia National Park.
-
B.
distanceToGreatSmokyMountainsNationalPark
Indicates the spatial distance between an entity and Great Smoky Mountains National Park.
-
C.
distanceToKrugerNationalPark
Indicates the measured distance between a given location and Kruger National Park.
-
D.
nearestNationalParkEntrance
Indicates the relationship where a given location is associated with the closest entrance point of a national park.
-
E.
distanceFromKrugerNationalParkMainGate
Indicates the measured distance between a given location and the main gate of Kruger National Park.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91a83012c81908d04bbab5fdcd8c2 |
completed | April 10, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69d91510a258819090ef8fbdc2d8707b |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d91a7e0fc081909ec9769231e728a4 |
completed | April 10, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:50 p.m.