Triple
T12339500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kita-Akabane Station |
E294181
|
entity |
| Predicate | hasICCardSupport |
P48609
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kita-Akabane Station, hasICCardSupport, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasICCardSupport Context triple: [Kita-Akabane Station, hasICCardSupport, yes]
-
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.
hasNFC
chosen
Indicates that one entity possesses or supports Near Field Communication (NFC) capability in relation to another entity or context.
-
C.
hasNearbyPass
Indicates that an entity has at least one pass (e.g., transit or access pass) available within a short or locally defined distance from it.
-
D.
hasPhysicalCard
Indicates that an entity possesses or is associated with a tangible, real-world card object.
-
E.
cardTypeAccess
Indicates that access or permissions are determined or constrained based on the type of card involved.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f678698819091462b44ff3435f6 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.