Triple
T31749001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iriya Gate |
E810355
|
entity |
| Predicate | associatedWithStationType |
P8936
|
FINISHED |
| Object | interchange station |
—
|
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: interchange station | Statement: [Iriya Gate, associatedWithStationType, interchange station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithStationType Context triple: [Iriya Gate, associatedWithStationType, interchange station]
-
A.
associatedWithStationName
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
B.
associatedWithStationRole
Indicates that an entity has a connection or involvement with a specific role or function at a station.
-
C.
associatedStationCategory
chosen
Indicates that one entity is linked to, or classified under, a particular category of station.
-
D.
associatedWithOperatorOfStationIdentified
Indicates a relationship where something is linked to the operator of a specific station that has been identified.
-
E.
associatedStationQualifier
Indicates that a station is linked to another station with a specific qualifying role or context (such as type, function, or relationship).
- 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_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:27 p.m.