Triple
T17315226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiama Blowhole |
E420405
|
entity |
| Predicate | heightOfSpray |
P97900
|
FINISHED |
| Object | up to around 20 metres under favourable conditions |
—
|
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: up to around 20 metres under favourable conditions | Statement: [Kiama Blowhole, heightOfSpray, up to around 20 metres under favourable conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfSpray Context triple: [Kiama Blowhole, heightOfSpray, up to around 20 metres under favourable conditions]
-
A.
sprayHeight
chosen
Indicates the vertical distance or elevation at which a spray (such as liquid, particles, or mist) is emitted or reaches.
-
B.
hasSpray
Indicates that one entity possesses, contains, or is equipped with a spray or spraying capability in relation to another entity or context.
-
C.
flameHeight
Indicates the vertical extent or height reached by a flame during burning.
-
D.
dropHeight
Indicates the vertical distance from which an object is released or allowed to fall.
-
E.
maximumHeightOfWaterJets
Indicates the greatest vertical height that the water jets in a system or installation can reach.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399c6ad88190ba7fcf1d2d53171c |
completed | April 19, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.