Triple
T25627469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rokujizō Station |
E642471
|
entity |
| Predicate | hasJRStation |
P726
|
FINISHED |
| Object | JR 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: JR Rokujizō Station | Statement: [Rokujizō Station, hasJRStation, JR Rokujizō Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJRStation Context triple: [Rokujizō Station, hasJRStation, JR Rokujizō Station]
-
A.
hasShinkansenStop
Indicates that a location is served by and includes a stop for a Shinkansen (high-speed rail) line.
-
B.
hasRailStation
chosen
Indicates that one entity possesses, contains, or is served by a rail station.
-
C.
hasAdjacentStationOnHankyuSenriLine
Indicates that one station is directly next to another station on the Hankyu Senri railway line.
-
D.
hasAdjacentStationOnJoetsuShinkansen
Indicates that one station is directly next to another station along the Jōetsu Shinkansen line.
-
E.
hasAdjacentStationOnShinetsuMainLine
Indicates that one station is directly next to another station along the Shinetsu Main Line.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa248b6c8190b79173bc9d806f21 |
completed | May 2, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 5:15 p.m.