Triple
T3704307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth, South Australia |
E80853
|
entity |
| Predicate | distanceFromAdelaideCBD |
P27723
|
FINISHED |
| Object | approximately 24 km north |
—
|
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 24 km north | Statement: [Elizabeth, South Australia, distanceFromAdelaideCBD, approximately 24 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAdelaideCBD Context triple: [Elizabeth, South Australia, distanceFromAdelaideCBD, approximately 24 km north]
-
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.
distanceFromAlbury
Indicates the spatial distance between a given entity or location and the place named Albury.
-
D.
distanceFromDarwin
Indicates the spatial distance between an entity and the location Darwin.
-
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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54aaac88190b775dba2513b6d4a |
completed | March 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.