Triple
T36365448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro 9000 series |
E895609
|
entity |
| Predicate | throughRunning |
P152772
|
FINISHED |
| Object | Tokyu Meguro Line |
—
|
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: Tokyu Meguro Line | Statement: [Tokyo Metro 9000 series, throughRunning, Tokyu Meguro Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: throughRunning Context triple: [Tokyo Metro 9000 series, throughRunning, Tokyu Meguro Line]
-
A.
hasThroughRunning
chosen
Indicates that there is a continuous, through-running service or operation connecting two points without requiring a transfer or interruption.
-
B.
involvesRunning
Indicates that the described activity, event, or process includes running as a central or necessary component.
-
C.
runsFrom
Indicates that one entity flees or escapes away from another entity.
-
D.
runsDuring
Indicates that one event or process occurs within the temporal span of another event or process.
-
E.
runsVia
Indicates that a process, operation, or connection is executed, routed, or carried out through a specified intermediate channel, path, or mechanism.
- 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_69f76e5044248190b390d8887dc03254 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:10 p.m.