Triple
T5905537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suica |
E131332
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | TOICA |
E355482
|
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: TOICA | Statement: [Suica, compatibleWith, TOICA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TOICA Context triple: [Suica, compatibleWith, TOICA]
-
A.
TOICA
chosen
TOICA is a rechargeable contactless smart card used for fare payment on trains and buses in the Nagoya area and other parts of Japan’s JR Central network.
-
B.
Tunechi
Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
-
C.
TIC TOC
"TIC TOC" is a track by rapper 6ix9ine from his 2018 studio album *Dummy Boy*, known for its aggressive style and high-energy delivery.
-
D.
TOJ
TOJ is the IATA airport code for Torrejón Air Base, a military airfield located near Madrid, Spain.
-
E.
TOIT
TOIT is the standard abbreviation for ACM Transactions on Internet Technology, a peer-reviewed scholarly journal focusing on research in internet and web technologies.
- 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.