Triple
T24952644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creswick, Victoria |
E624380
|
entity |
| Predicate | distanceToBallarat |
P166104
|
FINISHED |
| Object | about 18 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 18 kilometres north | Statement: [Creswick, Victoria, distanceToBallarat, about 18 kilometres north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBallarat Context triple: [Creswick, Victoria, distanceToBallarat, about 18 kilometres north]
-
A.
distanceToWarrnambool_km
Indicates the measured distance, in kilometers, from a given entity or location to Warrnambool.
-
B.
distanceFromGeelong
Indicates the spatial distance between a given entity or location and Geelong.
-
C.
distanceToMelbourne
Indicates the spatial distance between a given location or entity and the city of Melbourne.
-
D.
distanceToBallater
Indicates the measured distance between a given location or entity and the place named Ballater.
-
E.
distanceFromWangaratta
Indicates the measured distance between a given location and the town of Wangaratta.
- 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_69e2ff22e4c48190a0444b5a044f14e8 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 18, 2026, 5:57 a.m.