Triple
T4797924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Viktoria Plzeň |
E106756
|
entity |
| Predicate | hasEuropeanReputation |
P59331
|
FINISHED |
| Object | regular group-stage participant |
—
|
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: regular group-stage participant | Statement: [FC Viktoria Plzeň, hasEuropeanReputation, regular group-stage participant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEuropeanReputation Context triple: [FC Viktoria Plzeň, hasEuropeanReputation, regular group-stage participant]
-
A.
isProEuropean
Indicates support for European integration, institutions, or policies, or a generally favorable stance toward the European Union.
-
B.
hasQuirkyReputation
Indicates that an entity is regarded by others as having an unusual, eccentric, or unconventional character or style.
-
C.
hasNotableReputation
Indicates that an entity is widely recognized or distinguished for a particular quality, achievement, or characteristic.
-
D.
laterReputation
Indicates that an entity’s reputation or status at a later time is being referred to in relation to an earlier point or context.
-
E.
regionalReputation
Indicates the recognition or standing an entity has within a specific geographic region based on its performance, influence, or perceived quality.
- F. None of above. chosen
Provenance (4 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6b40c29c8190adab3503f8ba0145 |
completed | March 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69bd622f88188190a51d52ccfad3d2dd |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6b3fb598819084a83d2b765a62b0 |
completed | March 20, 2026, 3:43 p.m. |
Created at: March 20, 2026, 1:22 p.m.