Triple
T24956164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bàsquet Girona |
E624476
|
entity |
| Predicate | hasNotableFormerLeague |
P5927
|
FINISHED |
| Object | LEB Oro |
—
|
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: LEB Oro | Statement: [Bàsquet Girona, hasNotableFormerLeague, LEB Oro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFormerLeague Context triple: [Bàsquet Girona, hasNotableFormerLeague, LEB Oro]
-
A.
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.
-
B.
playedInLeagueThatBecame
Indicates that an entity participated in a sports league which later transformed into, merged into, or was rebranded as another specified league.
-
C.
notableFormerConference
Indicates that an entity was previously associated with or hosted a particular conference and is recognized as notable in that former conference context.
-
D.
refersToClubFormerLeague
Indicates that a club is associated with a league in which it previously competed but no longer participates.
-
E.
formerLeague
chosen
Indicates that an entity previously belonged to or participated in a particular league 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 18, 2026, 5:57 a.m.