Triple
T5905538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suica |
E131332
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | Kitaca |
E358113
|
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: Kitaca | Statement: [Suica, compatibleWith, Kitaca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitaca Context triple: [Suica, compatibleWith, Kitaca]
-
A.
Kitaca
chosen
Kitaca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in Japan’s Hokkaido region.
-
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.
PASMO
PASMO is a rechargeable contactless smart card widely used for public transportation and electronic payments across the Tokyo metropolitan area.
-
D.
Sendai Subway
Sendai Subway is an urban rapid transit system serving the city of Sendai in Japan, providing key north–south and east–west rail connections across the metropolitan area.
-
E.
Toei Subway
Toei Subway is one of Tokyo's two main subway networks, operated by the Tokyo Metropolitan Bureau of Transportation and serving numerous urban and suburban areas across the city.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0377159f88190a142cd7eed6118c1 |
completed | March 22, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c00e25f88190a5eb68ee234e4f6c |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:59 p.m.