Triple
T12185739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raetihi |
E290328
|
entity |
| Predicate | distanceToTaihape |
P103644
|
FINISHED |
| Object | about 90 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 90 kilometres | Statement: [Raetihi, distanceToTaihape, about 90 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTaihape Context triple: [Raetihi, distanceToTaihape, about 90 kilometres]
-
A.
distanceToPalmerstonNorth
Indicates the spatial distance between a given location and Palmerston North.
-
B.
distanceToGreymouth
Indicates the spatial distance between a given entity or location and the town of Greymouth.
-
C.
distanceFromTaree
Indicates the measured distance between a given location and the place named Taree.
-
D.
distanceToBlenheim
Indicates the measured distance between a given entity and the location named Blenheim.
-
E.
distanceToWellington
Indicates the measured distance between a given entity’s location and the location of Wellington.
- 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.