Triple
T21715835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 国府津駅 |
E536025
|
entity |
| Predicate | プラットホーム種別 |
P145067
|
FINISHED |
| Object | JR在来線ホーム |
—
|
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: JR在来線ホーム | Statement: [国府津駅, プラットホーム種別, JR在来線ホーム]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: プラットホーム種別 Context triple: [国府津駅, プラットホーム種別, JR在来線ホーム]
-
A.
hasRailPlatforms
Indicates that an entity is equipped with one or more rail platforms used for boarding or alighting from trains.
-
B.
tramPlatforms
Indicates that one entity provides or is associated with tram platforms available at another entity (such as a station or stop).
-
C.
hasSidePlatformCount
Indicates the number of side platforms associated with an entity, such as a station or stop.
-
D.
hasPlatformNumber
Indicates that a location or service is associated with a specific platform identified by a platform number.
-
E.
hasSeatingOnPlatform
Indicates that seating is available on a platform as part of the described setting or infrastructure.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96ab4c88190b76f4a6b7c855039 |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:47 p.m.