Triple
T582785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toowoomba |
E15092
|
entity |
| Predicate | distanceToCoast |
P14280
|
FINISHED |
| Object | approximately 140 kilometres from the Pacific coast |
—
|
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 140 kilometres from the Pacific coast | Statement: [Toowoomba, distanceToCoast, approximately 140 kilometres from the Pacific coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCoast Context triple: [Toowoomba, distanceToCoast, approximately 140 kilometres from the Pacific coast]
-
A.
distanceToPacificOcean
chosen
Indicates the physical distance between a given location or entity and the Pacific Ocean.
-
B.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
C.
basedOnCoast
Indicates that something is situated along, adjacent to, or directly influenced by a coastline.
-
D.
shoreType
Indicates the kind or classification of a shoreline associated with a body of water or coastal area.
-
E.
coastType
Indicates the specific kind or classification of a coastline associated with a geographic area.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b85becc8190b4d98c00e5fa7c04 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494c9315c8190a773e8e00737d8a0 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.