Triple
T13525372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagoya Grampus |
E323003
|
entity |
| Predicate | hasRivalryWith |
P893
|
FINISHED |
| Object | Júbilo Iwata |
E550950
|
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: Júbilo Iwata | Statement: [Nagoya Grampus, hasRivalryWith, Júbilo Iwata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Júbilo Iwata Context triple: [Nagoya Grampus, hasRivalryWith, Júbilo Iwata]
-
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.
Kashiwa Reysol
Kashiwa Reysol is a professional Japanese football club based in Kashiwa, Chiba, that competes in the J.League.
-
C.
Sanfrecce Hiroshima
Sanfrecce Hiroshima is a professional Japanese football club based in Hiroshima that competes in the J1 League.
-
D.
Giravanz Kitakyushu
Giravanz Kitakyushu is a Japanese professional football club based in Kitakyushu, known for competing in the J.League system.
-
E.
Sagan Tosu
Sagan Tosu is a professional Japanese football club based in Tosu, Saga Prefecture, that competes in the J.League.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa6ad60819087824e4ac83934ed |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76ba9fccc81908ec2e33d66aae8ea |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.