Triple
T12063728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kintetsu Nagoya Line |
E287239
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Suzuka |
E181521
|
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: Suzuka | Statement: [Kintetsu Nagoya Line, serves, Suzuka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzuka Context triple: [Kintetsu Nagoya Line, serves, Suzuka]
-
A.
Suzuka
chosen
Suzuka is a city in Japan best known internationally for the Suzuka International Racing Course, which hosts major motorsport events including Formula One races.
-
B.
Suzuka Sports Garden
Suzuka Sports Garden is a multi-purpose sports complex in Suzuka, Japan, offering facilities for various athletic and recreational activities.
-
C.
Suzuka Port
Suzuka Port is a maritime port facility serving the city of Suzuka in Mie Prefecture, Japan, supporting regional industry and transportation.
-
D.
Fuji Speedway
Fuji Speedway is a renowned Japanese motor racing circuit located near Mount Fuji, known for hosting international racing series and high-speed events.
-
E.
Takarazuka
Takarazuka is a Japanese city in Hyōgo Prefecture best known for the all-female Takarazuka Revue theater troupe and its popular hot spring resorts.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90440dd988190ae2b80367aceb6f7 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f654eb1881908d656009f1362ecf |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.