Triple
T19845803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Corryvreckan |
E476856
|
entity |
| Predicate | causeOfWhirlpool |
P694
|
FINISHED |
| Object | interaction of fast tidal streams with seabed pinnacle |
—
|
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: interaction of fast tidal streams with seabed pinnacle | Statement: [Gulf of Corryvreckan, causeOfWhirlpool, interaction of fast tidal streams with seabed pinnacle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfWhirlpool Context triple: [Gulf of Corryvreckan, causeOfWhirlpool, interaction of fast tidal streams with seabed pinnacle]
-
A.
whirlpoolDiameter
Indicates the measured width or span across a whirlpool, typically expressed as a linear distance.
-
B.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
C.
causeOfDrainage
Indicates the factor or process that leads to or is responsible for the drainage of a substance, area, or system.
-
D.
coolingLossCause
Indicates that one entity is the cause or source of another entity’s loss of cooling.
-
E.
causeOfVow
Indicates that one event, condition, or entity is the reason or motivating factor behind another entity making a vow.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658091c608190b4eb9bcedd88e147 |
completed | April 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.