Triple
T24449148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewis Pass |
E616482
|
entity |
| Predicate | distanceFromGreymouth |
P98020
|
FINISHED |
| Object | about 220 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 220 kilometres | Statement: [Lewis Pass, distanceFromGreymouth, about 220 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromGreymouth Context triple: [Lewis Pass, distanceFromGreymouth, about 220 kilometres]
-
A.
distanceToGreymouth
chosen
Indicates the spatial distance between a given entity or location and the town of Greymouth.
-
B.
distanceToTekapo_km
Indicates the physical distance, measured in kilometers, between a given entity and Tekapo.
-
C.
distanceToInvercargill
Indicates the measured or calculated distance between a given entity’s location and the city of Invercargill.
-
D.
distanceToTimaru_km
Indicates the physical distance, measured in kilometers, between a given location and Timaru.
-
E.
distanceFromWhangārei
Indicates the measured distance between a given place or object and the location of Whangārei.
- 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_69e2d7edca608190aafefc8877a1b4da |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f298562c6c8190a7374508f7237be2 |
completed | April 29, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:18 a.m.