Triple
T15768190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twin Waters |
E382279
|
entity |
| Predicate | distanceToMaroochydoreCBD |
P45086
|
FINISHED |
| Object | approximately 5–10 km |
—
|
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 5–10 km | Statement: [Twin Waters, distanceToMaroochydoreCBD, approximately 5–10 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMaroochydoreCBD Context triple: [Twin Waters, distanceToMaroochydoreCBD, approximately 5–10 km]
-
A.
distanceToMaroochydore
chosen
Indicates the measured distance from a given entity or location to Maroochydore.
-
B.
distanceToNambour
Indicates the spatial distance between a given entity and the location of Nambour.
-
C.
distanceToMoruya
Indicates the measured or calculated distance between a given entity or location and Moruya.
-
D.
distanceFromBrisbane
Indicates the measured distance between a given location or entity and the city of Brisbane.
-
E.
distanceToMaitlandCBD
Indicates the spatial distance between a given location and the central business district (CBD) of Maitland.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e051951bac8190a7d45f3612c6de72 |
completed | April 16, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.