Triple
T24417396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | João Filipe Iria Santos Moutinho |
E615621
|
entity |
| Predicate | hasPlayedForYouthOrSeniorTeam |
P8948
|
FINISHED |
| Object | Sporting CP |
—
|
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: Sporting CP | Statement: [João Filipe Iria Santos Moutinho, hasPlayedForYouthOrSeniorTeam, Sporting CP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedForYouthOrSeniorTeam Context triple: [João Filipe Iria Santos Moutinho, hasPlayedForYouthOrSeniorTeam, Sporting CP]
-
A.
hasYouthTeam
Indicates that an entity has an associated youth team that serves as its junior or developmental squad.
-
B.
playedForJuniorTeam
chosen
Indicates that an individual was a member of and played for a specific junior-level sports team.
-
C.
hasSeniorClubExperience
Indicates that an individual has played for or been a member of a senior-level (adult/professional) sports club.
-
D.
hasAdultTeams
Indicates that the subject is associated with one or more teams composed of adult participants.
-
E.
hasTopLeagueTeam
Indicates that an entity possesses or is associated with a team that competes in the highest-level league of a given sport or competition.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2958645248190a22bd0b8bcc2dfe2 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:13 a.m.