Triple
T10895562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karratha |
E257298
|
entity |
| Predicate | subjectToCyclones |
P76970
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Karratha, subjectToCyclones, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectToCyclones Context triple: [Karratha, subjectToCyclones, true]
-
A.
hasTropicalCyclones
chosen
Indicates that the specified region or area experiences tropical cyclones as part of its typical weather or climate conditions.
-
B.
regionAffectedByNamedStorms
Indicates that a geographic region is impacted or influenced by one or more specifically named storms.
-
C.
isTropicalCycloneBasin
Indicates that a given geographic region or body of water functions as a basin where tropical cyclones can form or occur.
-
D.
numberOfHurricanes
Indicates the total count of hurricanes associated with a specified context, such as a region, time period, or event.
-
E.
hasWaveClimate
Indicates a relationship where a location or coastal area is characterized by a particular pattern or regime of wave conditions (such as height, period, and direction).
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d022f4c81909cd9ea27a9f0cd32 |
completed | April 9, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.