Triple
T24633326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Gama |
E609736
|
entity |
| Predicate | formerMemberOfSportsTeam |
P8967
|
FINISHED |
| Object | Brescia Calcio Femminile |
—
|
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: Brescia Calcio Femminile | Statement: [Sara Gama, formerMemberOfSportsTeam, Brescia Calcio Femminile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerMemberOfSportsTeam Context triple: [Sara Gama, formerMemberOfSportsTeam, Brescia Calcio Femminile]
-
A.
formerSportsTeam
chosen
Indicates that an entity was once a member of or played for a particular sports team in the past but no longer does so.
-
B.
formerLeagueTeam
Indicates that an entity was previously a member team of a particular sports league but is no longer part of that league.
-
C.
roleAtSportsTeam
Indicates the specific position or function an individual holds within a sports team.
-
D.
hasFormerTeam
Indicates that an entity was previously a member of, played for, or was affiliated with a team in the past but is no longer associated with that team.
-
E.
formerMemberOf
Indicates that an entity once belonged to or was affiliated with a group, organization, or body, but is no longer a member.
- 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.