Triple
T20909456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inskip Point |
E514897
|
entity |
| Predicate | distanceToRainbowBeach |
P141647
|
FINISHED |
| Object | approximately 15 kilometres 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 15 kilometres north | Statement: [Inskip Point, distanceToRainbowBeach, approximately 15 kilometres north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToRainbowBeach Context triple: [Inskip Point, distanceToRainbowBeach, approximately 15 kilometres north]
-
A.
distanceToPraia
Indicates the measured distance between an entity and the location Praia.
-
B.
distanceToGreatBarrierReef
Indicates the spatial distance between a given entity and the Great Barrier Reef.
-
C.
distanceToMaroochydore
Indicates the measured distance from a given entity or location to Maroochydore.
-
D.
distanceFromGreenIsland
Indicates the measured distance separating a given entity or location from Green Island.
-
E.
distanceToAirlieBeach
Indicates the spatial distance between a given location and Airlie Beach.
- F. None of above. chosen
Provenance (4 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec5d73c88190a48180a1eed88190 |
completed | April 21, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:48 p.m.