Triple
T6648579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavel Nedvěd |
E150761
|
entity |
| Predicate | leagueParticipatedIn |
P2209
|
FINISHED |
| Object | Serie B |
E157473
|
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: Serie B | Statement: [Pavel Nedvěd, leagueParticipatedIn, Serie B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serie B Context triple: [Pavel Nedvěd, leagueParticipatedIn, Serie B]
-
A.
Serie B
chosen
Serie B is the second-highest professional football league in the Italian league system, sitting directly below Serie A.
-
B.
Serie C
Serie C is the third tier of professional football in the Italian league system, sitting below Serie A and Serie B.
-
C.
Lega Serie A
Lega Serie A is the organizing and administrative body responsible for managing Italy’s top professional football league and related competitions.
-
D.
Serie D
Serie D is the top level of non-professional football in Italy, sitting just below the fully professional leagues in the Italian football pyramid.
-
E.
Serie A
Serie A is Italy’s top professional football league, renowned for its historic clubs, tactical style of play, and world-class players.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b01fea4c8190a21ba7f4c2018c5e |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eef6def8819084bccdf6f11e63da |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2 p.m.