Triple
T31749036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G16 |
E810356
|
entity |
| Predicate | refersToStationComplex |
P19050
|
FINISHED |
| Object | Ueno Station (Tokyo Metro) |
—
|
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: Ueno Station (Tokyo Metro) | Statement: [G16, refersToStationComplex, Ueno Station (Tokyo Metro)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToStationComplex Context triple: [G16, refersToStationComplex, Ueno Station (Tokyo Metro)]
-
A.
stationComplex
chosen
Indicates a relationship where one entity is a station complex that encompasses or is associated with another station-related entity.
-
B.
isStationOf
Indicates that a given location functions as a station (e.g., transport or service hub) associated with or serving a particular system, line, route, or organization.
-
C.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
-
D.
associatedWithStationName
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
E.
hasStationAt
Indicates that an entity maintains or operates a station located at a specified place.
- 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_69f348e233cc819083b6695f70cd75d8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: April 30, 2026, 11:27 p.m.