Triple
T982039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunobiki Herb Garden |
E21189
|
entity |
| Predicate | ropewayConnects |
P22149
|
FINISHED |
| Object | base station in Kobe |
—
|
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: base station in Kobe | Statement: [Nunobiki Herb Garden, ropewayConnects, base station in Kobe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ropewayConnects Context triple: [Nunobiki Herb Garden, ropewayConnects, base station in Kobe]
-
A.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
-
B.
connectsToHighway
Indicates that one location, road, or route has a direct access point or linkage to a highway.
-
C.
roadNetworkHubOf
Indicates that one location functions as a central node or hub within the road network relative to another location or area.
-
D.
linkedByRoadTo
Indicates that two locations are directly connected to each other by a road suitable for travel.
-
E.
roadJunctionIncludes
Indicates that a road junction spatially contains or encompasses a specific road segment or related roadway element as part of its structure.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b49284ac8190b1d7c828d728893c |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2aa219081908a6b0ef786b4aa52 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b344f6f48190ba03ce593c94176b |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:41 p.m.