Triple
T37935062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paynes Find |
E946322
|
entity |
| Predicate | roadDistanceToWubin |
P121160
|
FINISHED |
| Object | about 290 kilometres 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 290 kilometres north | Statement: [Paynes Find, roadDistanceToWubin, about 290 kilometres north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToWubin Context triple: [Paynes Find, roadDistanceToWubin, about 290 kilometres north]
-
A.
distanceToWhistlerByRoad
Indicates the road travel distance between a given place and Whistler.
-
B.
approximateRouteLength
Indicates the estimated total distance or length of a given route, rather than its exact measured value.
-
C.
distanceFromDubbo_km
Indicates the distance, measured in kilometers, between an entity and the location Dubbo.
-
D.
roadDistanceRelation
chosen
Indicates a relationship specifying the distance between two locations as measured along a road or road network.
-
E.
distanceFromRoads
Indicates the measured or estimated spatial distance between a location and the nearest road.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.