Triple
T15489559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldinga Beach |
E377143
|
entity |
| Predicate | distanceFromAdelaideCBD_km |
P27723
|
FINISHED |
| Object | about 45 |
—
|
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 45 | Statement: [Aldinga Beach, distanceFromAdelaideCBD_km, about 45]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAdelaideCBD_km Context triple: [Aldinga Beach, distanceFromAdelaideCBD_km, about 45]
-
A.
distanceToAdelaide_km
chosen
Indicates the physical distance, measured in kilometers, between a given location and Adelaide.
-
B.
distanceFromWaggaWagga_km
Indicates the numerical distance, measured in kilometers, between an entity’s location and Wagga Wagga.
-
C.
distanceFromDarwin
Indicates the spatial distance between an entity and the location Darwin.
-
D.
distanceFromAlbury
Indicates the spatial distance between a given entity or location and the place named Albury.
-
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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faaca588190b0397bc2e27a522a |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:48 a.m.