Triple
T24689890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naruto Strait |
E611403
|
entity |
| Predicate | causeOfWhirlpools |
P694
|
FINISHED |
| Object | difference in tidal levels between Seto Inland Sea and Kii Channel |
—
|
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: difference in tidal levels between Seto Inland Sea and Kii Channel | Statement: [Naruto Strait, causeOfWhirlpools, difference in tidal levels between Seto Inland Sea and Kii Channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfWhirlpools Context triple: [Naruto Strait, causeOfWhirlpools, difference in tidal levels between Seto Inland Sea and Kii Channel]
-
A.
causeOfDrainage
Indicates the factor or process that leads to or is responsible for the drainage of a substance, area, or system.
-
B.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
C.
floodCause
Indicates that one entity is the cause or source of a flood affecting another entity or area.
-
D.
causeOfSediment
Indicates that one entity is the source or generating factor responsible for the formation or presence of sediment in another entity or location.
-
E.
disasterCauseDetail
Indicates a detailed explanation of the specific cause or contributing factors behind a disaster.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:20 a.m.