Triple
T22956276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gore |
E570765
|
entity |
| Predicate | distanceToInvercargill |
P150378
|
FINISHED |
| Object | approximately 64 kilometres northeast |
—
|
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: approximately 64 kilometres northeast | Statement: [Gore, distanceToInvercargill, approximately 64 kilometres northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToInvercargill Context triple: [Gore, distanceToInvercargill, approximately 64 kilometres northeast]
-
A.
distanceToWellington
Indicates the measured distance between a given entity’s location and the location of Wellington.
-
B.
distanceToPalmerstonNorth
Indicates the spatial distance between a given location and Palmerston North.
-
C.
distanceFromKaitaia
Indicates the measured distance between a given location or entity and Kaitaia.
-
D.
distanceToChristchurch
Indicates the spatial distance between a given entity’s location and the location of Christchurch.
-
E.
distanceFromWhangārei
Indicates the measured distance between a given place or object and the location of Whangārei.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f15ebc8190bf477539f7c23985 |
completed | April 29, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:47 p.m.