Triple
T11676294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keikyu Corporation |
E277499
|
entity |
| Predicate | fareCardAccepted |
P9955
|
FINISHED |
| Object | PASMO |
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 | Statement: [Keikyu Corporation, fareCardAccepted, PASMO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PASMO Context triple: [Keikyu Corporation, fareCardAccepted, PASMO]
-
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.
Kitaca
Kitaca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in Japan’s Hokkaido region.
-
D.
Tokyo Metro
Tokyo Metro is one of the two main rapid transit operators in Tokyo, running an extensive network of subway lines that serve the city’s central and metropolitan areas.
-
E.
Tobu Railway
Tobu Railway is a major private railway company in Japan that operates extensive rail networks in the Greater Tokyo area and surrounding regions.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a44504c48190b519765a83ff9c5e |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef82f515408190b21f1c7b207a2f0d |
completed | April 27, 2026, 3:38 p.m. |
Created at: April 8, 2026, 9:40 p.m.