Triple
T25627470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rokujizō Station |
E642471
|
entity |
| Predicate | hasPrivateRailwayStation |
P179448
|
FINISHED |
| Object | Keihan Rokujizō Station |
—
|
NE NERFINISHED |
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: Keihan Rokujizō Station | Statement: [Rokujizō Station, hasPrivateRailwayStation, Keihan Rokujizō Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrivateRailwayStation Context triple: [Rokujizō Station, hasPrivateRailwayStation, Keihan Rokujizō Station]
-
A.
hasPrivateRailway
Indicates that an entity owns or operates a railway line that is privately controlled rather than part of a public or national rail system.
-
B.
hasRailwayStation
Indicates that a place or location is served by, or contains, a railway station.
-
C.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
D.
hasHeritageRailwayStation
Indicates that an entity possesses or is associated with a railway station that is preserved or operated as a heritage or historical railway facility.
-
E.
hasRailwayStationRole
Indicates that an entity holds or is assigned a specific functional role or capacity within the operation or management of a railway station.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f722c1bc648190a79bfdc722dcaaa4 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 21, 2026, 5:15 p.m.