Triple
T3411333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICOCA |
E71900
|
entity |
| Predicate | contactless |
P15672
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ICOCA, contactless, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contactless Context triple: [ICOCA, contactless, true]
-
A.
nearPass
Indicates that one entity moves or travels close to another entity without necessarily making direct contact or interaction.
-
B.
near
Indicates that one entity is located at a short distance from another entity in space or position.
-
C.
supportsTapToPay
chosen
Indicates that an entity enables or is compatible with tap-to-pay (contactless) payment functionality.
-
D.
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.
-
E.
contactWith
Indicates that two entities are in direct or indirect physical or communicative interaction or touch with each other.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb90a76288190b92ef3b26638cd47 |
completed | March 8, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.