Triple
T12614264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | accepts PASMO |
E301210
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | PASMO adult cards |
E132941
|
NE 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: PASMO adult cards | Statement: [accepts PASMO, compatibleWith, PASMO adult cards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PASMO adult cards Context triple: [accepts PASMO, compatibleWith, PASMO adult cards]
-
A.
PASMO
chosen
PASMO is a rechargeable contactless smart card widely used for public transportation and electronic payments across the Tokyo metropolitan area.
-
B.
Suica
Suica is a rechargeable contactless smart card issued by JR East that is widely used for train fares and electronic payments across Japan.
-
C.
ORCA card
The ORCA card is a reusable, contactless smart card used to pay fares across multiple public transit systems in the Puget Sound region of Washington State.
-
D.
ICOCA
ICOCA is a rechargeable contactless smart card used for fare payment on public transportation systems in the Kansai region of Japan.
-
E.
Opal card
The Opal card is a reusable, contactless smartcard used to pay for public transport across much of New South Wales, Australia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c4f5b48190af76414ef678ba7c |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed2e12c819097cfd2a40116f491 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:12 p.m.