Triple
T34765532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobayakawa clan |
E1002200
|
entity |
| Predicate | associatedWithWaterForcesOf |
P47434
|
FINISHED |
| Object | Mōri navy |
E609181
|
NE 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: Mōri navy | Statement: [Kobayakawa clan, associatedWithWaterForcesOf, Mōri navy]
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 (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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a376637bf7881909af58a5f6bf19546 |
completed | June 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.