Triple
T27797103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culers |
E702143
|
entity |
| Predicate | digitalCommunity |
P39269
|
FINISHED |
| Object | FC Barcelona Culers membership platform |
—
|
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: FC Barcelona Culers membership platform | Statement: [Culers, digitalCommunity, FC Barcelona Culers membership platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitalCommunity Context triple: [Culers, digitalCommunity, FC Barcelona Culers membership platform]
-
A.
community
Indicates a relationship where individuals or groups are connected by shared location, interests, or identity, forming a collective social unit.
-
B.
modernCommunity
Indicates that a community exists in or reflects contemporary times, practices, or conditions rather than historical or traditional ones.
-
C.
communityAspect
Indicates that something pertains to, reflects, or influences the communal or social dimension of a group or community.
-
D.
communityUsage
Indicates how something is used, adopted, or engaged with by a particular community or group of people.
-
E.
communityType
chosen
Indicates the classification or category of community to which an entity belongs (e.g., urban, rural, online, professional).
- 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_69ef8408e0588190977cffa32dc33a29 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:32 p.m.