Triple
T34765532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobayakawa clan |
E1002200
|
entity |
| Predicate | associatedWithWaterForcesOf |
—
|
GENERATED |
| Object | Mōri navy |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithWaterForcesOf Context triple: [Kobayakawa clan, associatedWithWaterForcesOf, Mōri navy]
-
A.
hasWaterCoaster
Indicates that an entity features or includes a water-based roller coaster attraction.
-
B.
associatedWithWaterways
Indicates a relationship in which something is connected, linked, or relevant to waterways such as rivers, canals, or streams.
-
C.
hasWaterRide
Indicates that an entity features or includes at least one water-based ride or attraction.
-
D.
associatedWithSea
chosen
Indicates a relationship in which something has a connection, relevance, or linkage to the sea or marine environment.
-
E.
hasWaterPark
Indicates that one entity possesses, includes, or features a water park as part of its facilities or attributes.
- F. None of above.
Provenance (1 batch)
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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.