Triple
T13437749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gracetown |
E320273
|
entity |
| Predicate | distanceToMargaretRiver |
P105473
|
FINISHED |
| Object | approximately 20 kilometres northwest |
—
|
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 20 kilometres northwest | Statement: [Gracetown, distanceToMargaretRiver, approximately 20 kilometres northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMargaretRiver Context triple: [Gracetown, distanceToMargaretRiver, approximately 20 kilometres northwest]
-
A.
distanceFromMargaretRiverTown
chosen
Indicates the spatial distance between a given location and the town of Margaret River.
-
B.
distanceFromBroome
Indicates the spatial distance between a given entity or location and Broome.
-
C.
distanceToPerth
Indicates the measured distance between a given entity’s location and the city of Perth.
-
D.
distanceFromKarratha
Indicates the measured spatial distance between a given entity or location and Karratha.
-
E.
distanceFromPortHedland
Indicates the measured distance between a given location and Port Hedland.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee5ec488190bd0c1e990dbd2bc2 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.