Triple
T26062311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KO |
E657292
|
entity |
| Predicate | cityServedByRepresentedLine |
P14525
|
FINISHED |
| Object | Tokyo |
—
|
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: Tokyo | Statement: [KO, cityServedByRepresentedLine, Tokyo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityServedByRepresentedLine Context triple: [KO, cityServedByRepresentedLine, Tokyo]
-
A.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
B.
servedByTramwayLine
Indicates that a location or area is provided public transport service by a specific tramway line.
-
C.
isFirstMetroLineInCity
Indicates that a metro line is the earliest or original metro line established in a given city.
-
D.
numberOfMetroLines
Indicates the total count of metro (subway) lines associated with or serving a given entity.
-
E.
transportationServedBy
chosen
Indicates that a transportation facility, route, or area is provided service or coverage by a specific transportation provider or mode.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606941410819098a15b288273c3e1 |
completed | May 2, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:19 p.m.