Triple
T23453407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagoya Municipal Subway Meijō Line |
E567847
|
entity |
| Predicate | openedAsPartialLine |
P12887
|
FINISHED |
| Object | 1965 |
—
|
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: 1965 | Statement: [Nagoya Municipal Subway Meijō Line, openedAsPartialLine, 1965]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsPartialLine Context triple: [Nagoya Municipal Subway Meijō Line, openedAsPartialLine, 1965]
-
A.
openedInPart
chosen
Indicates that an entity was opened or made accessible only partially, rather than fully or completely.
-
B.
openedAsIndependentLine
Indicates that a railway or transit line was initially opened as a separate, standalone line rather than as part of an existing network or route.
-
C.
originalLineOpened
Indicates that a transportation or service line began its initial operation or was first opened for use.
-
D.
openedFirstLine
Indicates that one entity initiated the opening of something (e.g., a file, document, or interface) before any other entity did, being the first to perform the opening action.
-
E.
openedAsCurrentLineNumber
Indicates that an item was opened or accessed when it was at the specified current line number in a sequence or document.
- 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a694f19081909117bc9b10ca8a83 |
completed | April 29, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:52 p.m.