Triple
T298663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yarra Valley |
E6148
|
entity |
| Predicate | distanceFromMelbourne |
P7750
|
FINISHED |
| Object | approximately 45–60 km east |
—
|
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 45–60 km east | Statement: [Yarra Valley, distanceFromMelbourne, approximately 45–60 km east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMelbourne Context triple: [Yarra Valley, distanceFromMelbourne, approximately 45–60 km east]
-
A.
distanceToPerth
Indicates the measured distance between a given entity’s location and the city of Perth.
-
B.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
C.
distanceFromCentralLondon
Indicates the spatial separation or length of travel between a given location and central London.
-
D.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
E.
distance
chosen
Indicates the spatial separation or length between two points, objects, or locations.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e9398df08190af40063a2de7a1d0 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.