Triple
T33582431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motoyama Station |
E860183
|
entity |
| Predicate | hasSubsequentLineOpening |
P199788
|
FINISHED |
| Object | Meijō Line platforms opened 2003 |
—
|
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: Meijō Line platforms opened 2003 | Statement: [Motoyama Station, hasSubsequentLineOpening, Meijō Line platforms opened 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubsequentLineOpening Context triple: [Motoyama Station, hasSubsequentLineOpening, Meijō Line platforms opened 2003]
-
A.
hasClosingSectionCharacter
Indicates that something includes a specific character used to mark the end of a section.
-
B.
hasSectionOpening
Indicates that one entity serves as the opening or introductory section of another, typically larger, entity.
-
C.
openedAsPartOfLine
Indicates that something (such as a station or segment) was opened concurrently with, and as an integral component of, the launch of a specific line.
-
D.
hasLineCharacter
Indicates that one entity possesses or includes a specific character or symbol that appears within a line of text or sequence.
-
E.
originalLineOpened
Indicates that a transportation or service line began its initial operation or was first opened for use.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
| PDg | Predicate description generation | batch_69ff58031bb081909fea985b16f69da4 |
completed | May 9, 2026, 3:51 p.m. |
Created at: May 1, 2026, 1:40 a.m.