Triple
T14336766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | nimoca |
E355484
|
entity |
| Predicate | interoperableWith |
P14647
|
FINISHED |
| Object | SUGOCA |
E355483
|
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: SUGOCA | Statement: [nimoca, interoperableWith, SUGOCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SUGOCA Context triple: [nimoca, interoperableWith, SUGOCA]
-
A.
SUGOCA
chosen
SUGOCA is a rechargeable contactless smart card used for fare payment on public transportation and for electronic money transactions in parts of Japan.
-
B.
Suicoke
Suicoke is a Japanese footwear brand known for its high-quality, fashion-forward sandals and frequent collaborations with streetwear and luxury labels.
-
C.
Konpon Chūdō
Konpon Chūdō is the central and most important main hall of Enryaku-ji on Mount Hiei, serving as a core site of Tendai Buddhist worship and practice in Japan.
-
D.
Kachidoki
Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
-
E.
Wazuka
Wazuka is a rural town in Kyoto Prefecture, Japan, renowned for its historic tea fields and high-quality Uji tea production.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c2241e48190a0c626b3d741966a |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46986758819088750150ad47bae1 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.