Triple
T35271125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asa Station |
E1018669
|
entity |
| Predicate | isOnShinkansenBetween |
P39390
|
FINISHED |
| Object | Hiroshima 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: Hiroshima Station | Statement: [Asa Station, isOnShinkansenBetween, Hiroshima Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnShinkansenBetween Context triple: [Asa Station, isOnShinkansenBetween, Hiroshima Station]
-
A.
hasShinkansenStop
chosen
Indicates that a location is served by and includes a stop for a Shinkansen (high-speed rail) line.
-
B.
travelTimeFromTokyoByShinkansen
Indicates the amount of time required to travel from Tokyo to another location using the Shinkansen (bullet train).
-
C.
operatesShinkansenSection
Indicates that an entity operates or manages the service of a specific section of a Shinkansen (high-speed rail) line.
-
D.
hasAdjacentStationOnShinetsuMainLine
Indicates that one station is directly next to another station along the Shinetsu Main Line.
-
E.
distanceFromShinOsakaByShinkansen
Indicates the travel distance between a given location and Shin-Osaka Station when using the Shinkansen (bullet train).
- 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f9fabdc8190818a4032238abf08 |
completed | May 3, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.