Triple
T27408382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mishima Station |
E692072
|
entity |
| Predicate | isOnHighSpeedRail |
P50052
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mishima Station, isOnHighSpeedRail, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnHighSpeedRail Context triple: [Mishima Station, isOnHighSpeedRail, true]
-
A.
hasHighSpeedRailStation
chosen
Indicates that a location is served by a high-speed rail station where high-speed trains regularly stop.
-
B.
hasHighSpeedLine
Indicates that there exists a high-speed rail line connection between the related entities.
-
C.
isPassengerRail
Indicates that something functions as or is classified as a passenger rail service or system, primarily used to transport people rather than freight.
-
D.
hasRegionalTrainService
Indicates that a location or route is served by regional train services connecting it to nearby areas.
-
E.
hasNightTrainService
Indicates that a transportation route or station is served by trains that operate during nighttime hours.
- 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_69ef5205fc808190ad3efc5525b8e6d6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62cd83da48190854bb397bfe4b3ba |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:31 p.m.