Triple
T1646609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Barcelona |
E35595
|
entity |
| Predicate | supporterName |
P22910
|
FINISHED |
| Object | culers |
—
|
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: culers | Statement: [FC Barcelona, supporterName, culers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supporterName Context triple: [FC Barcelona, supporterName, culers]
-
A.
supporterOf
Indicates that one entity backs, advocates for, or provides assistance to another entity, cause, or organization.
-
B.
supporter
Indicates a relationship where one entity backs, advocates for, or provides assistance to another entity, often in an ongoing or affiliative way.
-
C.
supporterType
Indicates the specific role or category of support a supporter provides in relation to another entity or activity.
-
D.
supporterDemonym
chosen
Indicates the relationship between an entity and the demonym used to refer to its supporters or fans.
-
E.
hasSupporterNickname
Indicates that an entity is associated with a nickname or informal name used specifically by its supporters or fans.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.