Triple
T7983007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Gamper |
E185618
|
entity |
| Predicate | foundingDateOfFoundedClub |
P39975
|
FINISHED |
| Object | 1899-11-29 |
—
|
LITERAL 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: 1899-11-29 | Statement: [Joan Gamper, foundingDateOfFoundedClub, 1899-11-29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundingDateOfFoundedClub Context triple: [Joan Gamper, foundingDateOfFoundedClub, 1899-11-29]
-
A.
foundedAsClubInYear
Indicates that an organization was originally established as a club in the specified year.
-
B.
associatedClubFounded
chosen
Indicates that there exists a club associated with an entity and specifies the date or time at which that associated club was founded.
-
C.
foundedAsClub
Indicates that an organization or entity was originally established in the form of a club.
-
D.
foundedAsTopLevelClub
Indicates that an organization was originally established directly as a top-tier club, rather than being promoted or restructured from a lower level.
-
E.
secondClubFounded
Indicates that an entity is the second club established by or associated with another entity (such as a person, organization, or institution).
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c2a1aa881909c3cea280dff38f5 |
completed | March 31, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:15 p.m.