Triple
T37045571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ochiai-minami-nagasaki Station |
E916897
|
entity |
| Predicate | hasFareCardsAccepted |
P197310
|
FINISHED |
| Object | Suica |
—
|
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: Suica | Statement: [Ochiai-minami-nagasaki Station, hasFareCardsAccepted, Suica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFareCardsAccepted Context triple: [Ochiai-minami-nagasaki Station, hasFareCardsAccepted, Suica]
-
A.
hasFareIntegration
Indicates that two or more transportation services or systems share a coordinated fare structure, allowing passengers to use a single ticket or payment arrangement across them.
-
B.
hasFareCardVendor
Indicates that an entity provides or is associated with a machine or service point where fare cards can be purchased, reloaded, or otherwise obtained.
-
C.
hasFareRule
Indicates that a transportation service or fare product is governed by a specific fare rule or pricing condition.
-
D.
hasFaregates
Indicates that an entity is equipped with or contains faregates used to control or validate access, typically for paid entry.
-
E.
hasFareControlIntegrationSince
Indicates that a fare control system has been integrated with another system or entity starting from a specific point in time.
- F. None of above. chosen
Provenance (4 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
| PDg | Predicate description generation | batch_69fe86c98d688190a99d5dcb14e2dc95 |
completed | May 9, 2026, 12:58 a.m. |
Created at: May 3, 2026, 4:14 p.m.