Triple
T16944493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagoya Municipal Subway |
E411033
|
entity |
| Predicate | acceptedICCard |
P35327
|
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: [Nagoya Municipal Subway, acceptedICCard, TOICA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TOICA Context triple: [Nagoya Municipal Subway, acceptedICCard, 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.
TOCA
TOCA is an architectural firm known for its role in designing major sports venues such as the Baku Olympic Stadium in Azerbaijan.
-
C.
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.
-
D.
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.
-
E.
TOJ
TOJ is the IATA airport code for Torrejón Air Base, a military airfield located near Madrid, Spain.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb08da88190b07c32652bbc1534 |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfea3bc88190acaa013169d607c5 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:31 a.m.