Triple
T5905540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suica |
E131332
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | PiTaPa |
E71901
|
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: PiTaPa | Statement: [Suica, compatibleWith, PiTaPa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PiTaPa Context triple: [Suica, compatibleWith, PiTaPa]
-
A.
PiTaPa
chosen
PiTaPa is a rechargeable contactless smart card system used for fare payment on public transportation networks in the Kansai region of Japan.
-
B.
Pesa
Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
-
C.
Paisas
Paisas are a culturally distinct group from Colombia’s Andean region, especially Antioquia, known for their entrepreneurial spirit, coffee-growing heritage, and characteristic Spanish accent.
-
D.
Bango
Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
-
E.
Paipai
Paipai are an indigenous people of northern Baja California, Mexico, traditionally speaking a Yuman language and maintaining distinct cultural and historical traditions in the region.
- 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_69c0b16ba6c881908e9a909bf86ea92d |
completed | March 23, 2026, 3:20 a.m. |
Created at: March 22, 2026, 3:59 p.m.