Triple
T17315234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiama Blowhole |
E420405
|
entity |
| Predicate | bestViewingConditions |
P42052
|
FINISHED |
| Object | when seas are running from the southeast |
—
|
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: when seas are running from the southeast | Statement: [Kiama Blowhole, bestViewingConditions, when seas are running from the southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestViewingConditions Context triple: [Kiama Blowhole, bestViewingConditions, when seas are running from the southeast]
-
A.
hasViewingConditions
chosen
Indicates that one entity is associated with specific viewing conditions under which it is meant to be observed or evaluated.
-
B.
bestTimeForPhotography
Indicates the most suitable or optimal time period for taking photographs, typically based on lighting or environmental conditions.
-
C.
bestTimeForSunsetViews
Indicates the optimal time period during which sunset views are at their most visually appealing or enjoyable.
-
D.
bestSeasonForStormWatching
Indicates the season during which conditions are most favorable for observing storms.
-
E.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
- 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.