Triple
T18408004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cottesloe, Western Australia |
E441676
|
entity |
| Predicate | distanceFromPerthCBD_km |
P5889
|
FINISHED |
| Object | about 11 |
—
|
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 11 | Statement: [Cottesloe, Western Australia, distanceFromPerthCBD_km, about 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPerthCBD_km Context triple: [Cottesloe, Western Australia, distanceFromPerthCBD_km, about 11]
-
A.
distanceToPerth
chosen
Indicates the measured distance between a given entity’s location and the city of Perth.
-
B.
distanceFromFremantle
Indicates the measured distance between a given entity and the location of Fremantle.
-
C.
distanceFromWaggaWagga_km
Indicates the numerical distance, measured in kilometers, between an entity’s location and Wagga Wagga.
-
D.
distanceToAdelaide_km
Indicates the physical distance, measured in kilometers, between a given location and Adelaide.
-
E.
distanceFromGeelong
Indicates the spatial distance between a given entity or location and Geelong.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5195a49e08190b31f1767239bbe28 |
completed | April 19, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 10:46 a.m.