Triple
T22289344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Júbilo Iwata |
E550950
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Júbilo |
—
|
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: Júbilo | Statement: [Júbilo Iwata, shortName, Júbilo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Júbilo Context triple: [Júbilo Iwata, shortName, Júbilo]
-
A.
Júbilo Iwata
chosen
Júbilo Iwata is a professional Japanese football club based in Iwata, Shizuoka, known for its success in the J.League and domestic cup competitions.
-
B.
Yamaha Jubilo
Yamaha Jubilo is a Japanese professional rugby union team based in Iwata, Shizuoka, historically backed by Yamaha Motor Company and competing in Japan’s top domestic competitions.
-
C.
Kashima Kikō
Kashima Kikō is a travel diary by the Japanese haiku master Matsuo Bashō, recounting his poetic journey to the Kashima Shrine and surrounding regions.
-
D.
Gamba
Gamba is a professional Japanese football club based in Suita, Osaka, competing in the J1 League.
-
E.
Gamba
Gamba is a coastal town in southwestern Gabon known for its oil industry and proximity to rich rainforest and marine ecosystems.
- 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_69f15609854c81908adb7681cff2c404 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:41 p.m.