Triple
T23860378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oyashio |
E592429
|
entity |
| Predicate | meetsCurrentRegion |
P154220
|
FINISHED |
| Object | off the coast of northeastern Honshu |
—
|
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: off the coast of northeastern Honshu | Statement: [Oyashio, meetsCurrentRegion, off the coast of northeastern Honshu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetsCurrentRegion Context triple: [Oyashio, meetsCurrentRegion, off the coast of northeastern Honshu]
-
A.
meetsInRegion
Indicates that two or more entities encounter or come together within a specified geographic or spatial region.
-
B.
endsInRegion
Indicates that an entity’s spatial or temporal extent terminates within the boundaries of a specified region.
-
C.
meetsInCountrySubdivision
Indicates that two or more entities meet or have a meeting within a specific administrative subdivision of a country (such as a state, province, or region).
-
D.
meetsState
Indicates that an entity satisfies, complies with, or fulfills a specified state or condition.
-
E.
meetsCurrent
Indicates that an entity currently satisfies or fulfills a specified condition, requirement, or standard.
- 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_69e25d22eb488190914b193aff952e83 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cadf91948190bed71376e6639294 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:12 p.m.