Triple
T31644592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyu 5080 series EMU |
E807549
|
entity |
| Predicate | throughRunningTo |
P152772
|
FINISHED |
| Object | Tokyo Metro Hibiya 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: Tokyo Metro Hibiya Line | Statement: [Tokyu 5080 series EMU, throughRunningTo, Tokyo Metro Hibiya Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: throughRunningTo Context triple: [Tokyu 5080 series EMU, throughRunningTo, Tokyo Metro Hibiya 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.
runsTheLengthOf
Indicates that one entity extends continuously alongside or across the full distance of another entity.
-
C.
runsInto
Indicates that one entity moves so as to collide or come into sudden contact with another entity.
-
D.
runsBeneath
Indicates that one entity extends or moves below another entity along its length or span.
-
E.
ranIn
Indicates that an entity performed a running action within or during a specified location, context, or time frame.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a91d8b788190869e9121c90b0040 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:50 p.m.