Triple
T13219033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowra Airport |
E314698
|
entity |
| Predicate | distanceFromTown |
P1299
|
FINISHED |
| Object | located a few kilometres from Cowra town centre |
—
|
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: located a few kilometres from Cowra town centre | Statement: [Cowra Airport, distanceFromTown, located a few kilometres from Cowra town centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTown Context triple: [Cowra Airport, distanceFromTown, located a few kilometres from Cowra town centre]
-
A.
distanceToWokingTownCentre
Indicates the spatial distance between a given location and the center of Woking town.
-
B.
distanceFromDowntown
chosen
Indicates the physical distance between a given location and the central downtown area.
-
C.
distanceToReadingTownCentre
Indicates the measured distance between a given location and the centre of Reading town.
-
D.
districtHeadquartersDistance
Indicates the distance between a place and its corresponding district headquarters.
-
E.
distanceFromHanaTown (miles)
Indicates the number of miles separating a given place or entity from Hana Town.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:18 p.m.