Triple
T35212826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmwoods |
E1016732
|
entity |
| Predicate | distanceToSunshineCoastBeaches |
P48231
|
FINISHED |
| Object | approximately 20–30 minutes by car |
—
|
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 20–30 minutes by car | Statement: [Palmwoods, distanceToSunshineCoastBeaches, approximately 20–30 minutes by car]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSunshineCoastBeaches Context triple: [Palmwoods, distanceToSunshineCoastBeaches, approximately 20–30 minutes by car]
-
A.
distanceFromSunshineCoastBeaches
chosen
Indicates the measured or specified distance between a given location and the beaches of the Sunshine Coast.
-
B.
distanceToSunnyBeach
Indicates the spatial distance between a given location and Sunny Beach.
-
C.
distanceToRainbowBeach
Indicates the spatial distance between a given location and Rainbow Beach.
-
D.
distanceToGoldCoast
Indicates the measured distance between a given entity and the location known as the Gold Coast.
-
E.
distanceToAirlieBeach
Indicates the spatial distance between a given location and Airlie Beach.
- 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.