Triple
T14336717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SUGOCA |
E355483
|
entity |
| Predicate | interoperableWith |
P14647
|
FINISHED |
| Object |
Nimoca
Nimoca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in parts of Japan, particularly in the Kyushu region.
|
E1093011
|
NE FINISHED |
How this triple was built (4 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: Nimoca | Statement: [SUGOCA, interoperableWith, Nimoca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nimoca Context triple: [SUGOCA, interoperableWith, Nimoca]
-
A.
Nayot
Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
-
B.
Namba
Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
-
C.
Nimaima
Nimaima is a small town and municipality in the Gualivá Province of the Cundinamarca Department in central Colombia.
-
D.
Nikaho
Nikaho is a coastal city in northern Japan known for its scenic Sea of Japan shoreline and location in southwestern Akita Prefecture.
-
E.
Nomuka
Nomuka is a small inhabited island in the Haʻapai group of Tonga, known for its traditional villages and surrounding coral reefs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nimoca Triple: [SUGOCA, interoperableWith, Nimoca]
Generated description
Nimoca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in parts of Japan, particularly in the Kyushu region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nimoca Target entity description: Nimoca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in parts of Japan, particularly in the Kyushu region.
-
A.
Nayot
Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
-
B.
Namba
Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
-
C.
Nimaima
Nimaima is a small town and municipality in the Gualivá Province of the Cundinamarca Department in central Colombia.
-
D.
Nikaho
Nikaho is a coastal city in northern Japan known for its scenic Sea of Japan shoreline and location in southwestern Akita Prefecture.
-
E.
Nomuka
Nomuka is a small inhabited island in the Haʻapai group of Tonga, known for its traditional villages and surrounding coral reefs.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69fd47a9b5008190a15de0f427771505 |
completed | May 8, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4828f44c81908903d1391c83cc60 |
completed | May 8, 2026, 2:19 a.m. |
Created at: April 10, 2026, 1:14 a.m.