Triple
T13810587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Stadium |
E331877
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | City of Toyota |
E1046070
|
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: City of Toyota | Statement: [Toyota Stadium, owner, City of Toyota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Toyota Context triple: [Toyota Stadium, owner, City of Toyota]
-
A.
City of Toyota
chosen
The City of Toyota is a Japanese municipality in Aichi Prefecture best known as the headquarters of the Toyota Motor Corporation and a major center of the automotive industry.
-
B.
Toda City
Toda City is a municipality in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town within the Greater Tokyo metropolitan area.
-
C.
Takeley
Takeley is a village and civil parish in Essex, England, situated near London Stansted Airport.
-
D.
Tendo City
Tendo City is a municipality in northeastern Japan known for its production of shogi (Japanese chess) pieces and hot spring resorts.
-
E.
Yuza Town
Yuza Town is a coastal municipality in northern Japan known for its scenic location in Yamagata Prefecture near Mount Chōkai and the Sea of Japan.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026ff6b481908066d6bf27064417 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b09161108190abbd97a30af9ab49 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:12 p.m.