Triple
T22727730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando Torres |
E562041
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object | Sagan Tosu |
—
|
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: Sagan Tosu | Statement: [Fernando Torres, playedFor, Sagan Tosu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sagan Tosu Context triple: [Fernando Torres, playedFor, Sagan Tosu]
-
A.
Sagan Tosu
chosen
Sagan Tosu is a professional Japanese football club based in Tosu, Saga Prefecture, that competes in the J.League.
-
B.
Vegalta Sendai
Vegalta Sendai is a Japanese professional football club based in Sendai 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.
Kashiwa Reysol
Kashiwa Reysol is a professional Japanese football club based in Kashiwa, Chiba, that competes in the J.League.
-
E.
Tokyo Verdy
Tokyo Verdy is a historic Japanese professional football club based in Tokyo, known as one of the founding and most successful teams of the J.League’s early era.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792b22cc819099aa00bb2dbacce3 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:21 p.m.