Triple
T11924134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bright, Victoria |
E283736
|
entity |
| Predicate | distanceFromWangaratta |
P102177
|
FINISHED |
| Object | approximately 80 kilometres south |
—
|
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 80 kilometres south | Statement: [Bright, Victoria, distanceFromWangaratta, approximately 80 kilometres south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromWangaratta Context triple: [Bright, Victoria, distanceFromWangaratta, approximately 80 kilometres south]
-
A.
distanceFromWaggaWagga_km
Indicates the numerical distance, measured in kilometers, between an entity’s location and Wagga Wagga.
-
B.
distanceFromAlbury
Indicates the spatial distance between a given entity or location and the place named Albury.
-
C.
distanceToMildura_km
Indicates the physical distance, measured in kilometers, between a given location and Mildura.
-
D.
distanceFromGeelong
Indicates the spatial distance between a given entity or location and Geelong.
-
E.
distanceToGympie
Indicates the spatial distance between a given location and the town or area of Gympie.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e2fc648190a446c1917db1c7d9 |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.