Triple
T22289369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Júbilo Iwata |
E550950
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Iwata |
—
|
NE NERFINISHED |
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: Iwata | Statement: [Júbilo Iwata, city, Iwata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iwata Context triple: [Júbilo Iwata, city, Iwata]
-
A.
Iwata City
chosen
Iwata City is a coastal municipality in central Japan known for its manufacturing industries and as the home of the Júbilo Iwata professional soccer team.
-
B.
Fujieda
Fujieda is a city in Shizuoka Prefecture, Japan, known as a regional commercial center with a mix of residential areas, agriculture, and light industry.
-
C.
Toyokawa
Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
-
D.
Arichis
Arichis was a Lombard nobleman best known as Arichis II, Duke of Benevento in the 8th century.
-
E.
Miyazaki City
Miyazaki City is a coastal city in southeastern Kyushu, Japan, known for its mild climate, beaches, and role as an administrative and cultural center of the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560adde88190961d8fc24c1c4b3c |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:41 p.m.