Triple
T33462658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 紀伊水道 |
E856961
|
entity |
| Predicate | hasStrongerCurrentsNear |
P199665
|
FINISHED |
| Object | 鳴門海峡 |
—
|
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: 鳴門海峡 | Statement: [紀伊水道, hasStrongerCurrentsNear, 鳴門海峡]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStrongerCurrentsNear Context triple: [紀伊水道, hasStrongerCurrentsNear, 鳴門海峡]
-
A.
oceanCurrentsMeetNear
Indicates that two or more ocean currents converge or come into close proximity in a particular area.
-
B.
waterCurrentPreference
Indicates a preference for a particular strength, speed, or type of water current in an environment.
-
C.
hasNearbyWatersUsedBy
Indicates that a body of water located near an entity is utilized or accessed by another specified entity.
-
D.
hasTurbulentWatersBelow
Indicates that something is positioned above an area of water characterized by turbulence or strong, disturbed motion below it.
-
E.
positionRelativeToSurfaceCurrents
Indicates the spatial relationship of an entity’s location or movement with respect to the direction and pattern of surface currents.
- F. None of above. chosen
Provenance (4 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
| PDg | Predicate description generation | batch_69ff4de56fd48190aefdbf13c70f76ce |
completed | May 9, 2026, 3:08 p.m. |
Created at: May 1, 2026, 1:37 a.m.