Triple
T20619001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobe Nunobiki Ropeway |
E506647
|
entity |
| Predicate | terminusLower |
P388
|
FINISHED |
| Object |
Shin-Kobe base station
Shin-Kobe base station is the lower terminal of the Kobe Nunobiki Ropeway, serving as a gateway for visitors traveling up to the Nunobiki Herb Garden and surrounding scenic areas in Kobe, Japan.
|
E1440812
|
NE FINISHED |
How this triple was built (4 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: Shin-Kobe base station | Statement: [Kobe Nunobiki Ropeway, terminusLower, Shin-Kobe base station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shin-Kobe base station Context triple: [Kobe Nunobiki Ropeway, terminusLower, Shin-Kobe base station]
-
A.
Kiwa Station
Kiwa Station is a railway station in Wakayama Prefecture, Japan, serving passengers on the Wakayamakō Line.
-
B.
Onda Station
Onda Station is a railway station on the Kodomonokuni Line in Yokohama, Japan, serving local commuter traffic.
-
C.
Ebie Station
Ebie Station is a railway station in Osaka, Japan, served by the JR Tōzai Line and operated by West Japan Railway Company (JR West).
-
D.
Maita Station
Maita Station is a railway station in Yokohama, Japan, serving local commuters in the Minami Ward area.
-
E.
Evka-3 station
Evka-3 station is a major terminal stop on the İzmir Metro system serving the Bornova district of İzmir, Turkey.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shin-Kobe base station Triple: [Kobe Nunobiki Ropeway, terminusLower, Shin-Kobe base station]
Generated description
Shin-Kobe base station is the lower terminal of the Kobe Nunobiki Ropeway, serving as a gateway for visitors traveling up to the Nunobiki Herb Garden and surrounding scenic areas in Kobe, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shin-Kobe base station Target entity description: Shin-Kobe base station is the lower terminal of the Kobe Nunobiki Ropeway, serving as a gateway for visitors traveling up to the Nunobiki Herb Garden and surrounding scenic areas in Kobe, Japan.
-
A.
Kiwa Station
Kiwa Station is a railway station in Wakayama Prefecture, Japan, serving passengers on the Wakayamakō Line.
-
B.
Onda Station
Onda Station is a railway station on the Kodomonokuni Line in Yokohama, Japan, serving local commuter traffic.
-
C.
Ebie Station
Ebie Station is a railway station in Osaka, Japan, served by the JR Tōzai Line and operated by West Japan Railway Company (JR West).
-
D.
Maita Station
Maita Station is a railway station in Yokohama, Japan, serving local commuters in the Minami Ward area.
-
E.
Evka-3 station
Evka-3 station is a major terminal stop on the İzmir Metro system serving the Bornova district of İzmir, Turkey.
- F. None of above. chosen
Provenance (5 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abdf9d7c8190969247a4ae55b781 |
completed | April 20, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bb1588a881909f7197bfc38d9e21 |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bba2e85881909ae887fc5bc3121f |
completed | May 16, 2026, 6:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08bc410f008190b00bf4956d591176 |
completed | May 16, 2026, 6:49 p.m. |
Created at: April 16, 2026, 11:41 a.m.