Triple
T37864566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 保津川 |
E944435
|
entity |
| Predicate | boatRideRoute |
P7985
|
FINISHED |
| Object | Kameoka to Arashiyama |
—
|
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: Kameoka to Arashiyama | Statement: [保津川, boatRideRoute, Kameoka to Arashiyama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boatRideRoute Context triple: [保津川, boatRideRoute, Kameoka to Arashiyama]
-
A.
travelTimeByBoat
Indicates the amount of time it takes to travel between two locations specifically when using a boat as the mode of transportation.
-
B.
boatService
Indicates that one entity provides or operates a transportation service by boat for another entity or between locations.
-
C.
boatTraveledOn
Indicates that a boat moved or was transported along or across a specified body of water or route.
-
D.
sailingRoute
chosen
Indicates a path or course taken by a vessel when traveling by water from one location to another.
-
E.
boatRole
Indicates the specific function, duty, or position an entity has in relation to a boat within a given context.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.