Triple
T35618899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shigaraki Kōgen Railway |
E1029253
|
entity |
| Predicate | openingYearOfLine |
P30642
|
FINISHED |
| Object | 1933 |
—
|
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: 1933 | Statement: [Shigaraki Kōgen Railway, openingYearOfLine, 1933]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingYearOfLine Context triple: [Shigaraki Kōgen Railway, openingYearOfLine, 1933]
-
A.
openingDateToRapidTransit
Indicates the date on which a rapid transit service or connection was opened or became operational.
-
B.
firstSubwayOpeningDate
Indicates the calendar date on which a subway system or line first began operating.
-
C.
railwaySectionOpeningDate
Indicates the date on which a specific section of a railway line was officially opened for operation.
-
D.
railwayLineOpened
chosen
Indicates that a railway line began official operation or service on a specified date.
-
E.
line2OpeningDate
Indicates the date on which the second line (e.g., a route, service, or facility line) was officially opened or began operation.
- 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.