Triple
T10296879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gotanda Station |
E241512
|
entity |
| Predicate | hasFareGateConnection |
P65039
|
FINISHED |
| Object | JR East–Tokyu transfer |
—
|
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: JR East–Tokyu transfer | Statement: [Gotanda Station, hasFareGateConnection, JR East–Tokyu transfer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFareGateConnection Context triple: [Gotanda Station, hasFareGateConnection, JR East–Tokyu transfer]
-
A.
hasFareGateConnectionTo
chosen
Indicates that there is a direct passage or connection between two areas that is controlled or mediated by fare gates.
-
B.
hasFaregates
Indicates that an entity is equipped with or contains faregates used to control or validate access, typically for paid entry.
-
C.
hasFareControlIntegrationSince
Indicates that a fare control system has been integrated with another system or entity starting from a specific point in time.
-
D.
hasFareZoneSystem
Indicates that an entity uses or is associated with a particular fare zone system for determining travel costs or ticketing.
-
E.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ebd258819099fadddcd13099fc |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:43 a.m.