Triple
T24895352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR Saikyo Line (at Ikebukuro Station) |
E623123
|
entity |
| Predicate | smartCard |
P69490
|
FINISHED |
| Object | PASMO |
—
|
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: PASMO | Statement: [JR Saikyo Line (at Ikebukuro Station), smartCard, PASMO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smartCard Context triple: [JR Saikyo Line (at Ikebukuro Station), smartCard, PASMO]
-
A.
supportsSmartcards
Indicates that one entity provides compatibility with or the ability to use smartcard-based functionality for another entity.
-
B.
cardFunction
Indicates that one entity serves as the functional role, capability, or purpose associated with a card-related entity in a system.
-
C.
fareCardSystem
Indicates a system that manages the issuance, validation, and payment processing of fare cards for transportation or access services.
-
D.
cardTypeAccess
Indicates that access or permissions are determined or constrained based on the type of card involved.
-
E.
compatibleICCardBrand
chosen
Indicates that one entity (such as a device or system) supports and can properly operate with IC cards of the specified brand.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:26 a.m.