Triple
T23179088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Vilda |
E579100
|
entity |
| Predicate | titleWonWithTeam |
P10054
|
FINISHED |
| Object | Spain women's national football team |
—
|
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: Spain women's national football team | Statement: [Jorge Vilda, titleWonWithTeam, Spain women's national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleWonWithTeam Context triple: [Jorge Vilda, titleWonWithTeam, Spain women's national football team]
-
A.
winsWithTeam
Indicates that an entity achieves a victory as a member of, or in conjunction with, a specific team.
-
B.
championshipWithTeam
chosen
Indicates that an entity has won or holds a championship title specifically while being a member of a particular team.
-
C.
winningTeam
Indicates which team is the victor in a given competition, game, or contest.
-
D.
teamWonChampionship
Indicates that a particular team has secured victory in a championship competition.
-
E.
hasTeamsChampionship
Indicates that an entity has won at least one championship title in a teams-based competition or league.
- F. None of above.
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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6dad948190a64f80f2c9e8e4cb |
completed | April 29, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:04 p.m.