Triple
T6329509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zadar Channel |
E141942
|
entity |
| Predicate | hasTypicalWind |
P37481
|
FINISHED |
| Object | bora |
—
|
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: bora | Statement: [Zadar Channel, hasTypicalWind, bora]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalWind Context triple: [Zadar Channel, hasTypicalWind, bora]
-
A.
typicalWindStrength
Indicates the usual or characteristic intensity of wind associated with something, such as a place, time, or condition.
-
B.
hasWindPattern
chosen
Indicates that one entity exhibits, is characterized by, or is associated with a particular pattern of wind behavior.
-
C.
windSpeed
Indicates the measured or estimated rate at which wind is moving at a given location and time.
-
D.
typicalStormType
Indicates the kind of storm that is most commonly or characteristically associated with a given context or location.
-
E.
hasTypicalVelocity
Indicates that an entity is associated with a characteristic or commonly observed speed at which it typically moves or operates.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651334c08190a9514faa36e7812d |
completed | March 22, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.