Triple
T38555080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | national railway network of Japan |
E925220
|
entity |
| Predicate | exampleICCard |
P99140
|
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: [national railway network of Japan, exampleICCard, Suica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exampleICCard Context triple: [national railway network of Japan, exampleICCard, Suica]
-
A.
compatibleICCardBrand
Indicates that one entity (such as a device or system) supports and can properly operate with IC cards of the specified brand.
-
B.
hasICCardReaders
Indicates that an entity is equipped with or contains IC card reader devices.
-
C.
cardId
Indicates a relationship where an entity is associated with a specific card through its unique identifier.
-
D.
ICCardServiceArea
chosen
Indicates that a particular IC card is valid for use within a specified service area or region.
-
E.
cardExample
Indicates that something is an illustrative or sample instance of a card (such as a prototype, demo, or example card) rather than a primary or production card.
- 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd31bd2c0819080fcc54dcbc968ba |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.