Triple
T34839583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Burr |
E1004301
|
entity |
| Predicate | distanceToMountGambier |
P205580
|
FINISHED |
| Object | approximately 50 kilometres northwest |
—
|
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 50 kilometres northwest | Statement: [Mount Burr, distanceToMountGambier, approximately 50 kilometres northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMountGambier Context triple: [Mount Burr, distanceToMountGambier, approximately 50 kilometres northwest]
-
A.
distanceToCoonabarabran
Indicates the spatial distance between a given entity or location and the town of Coonabarabran.
-
B.
distanceToGoulburn
Indicates the spatial distance between a given entity or location and the place named Goulburn.
-
C.
distanceFromBurnie
Indicates the measured distance between a given entity or location and Burnie.
-
D.
distanceFromGundagai
Indicates the spatial distance separating something from the location of Gundagai.
-
E.
distanceFromHobart
Indicates the spatial distance between a given entity and the location of Hobart.
- 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_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4 p.m.