Triple
T29509783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HC Motor České Budějovice |
E748615
|
entity |
| Predicate | representsCityInSport |
P180007
|
FINISHED |
| Object | České Budějovice |
—
|
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: České Budějovice | Statement: [HC Motor České Budějovice, representsCityInSport, České Budějovice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsCityInSport Context triple: [HC Motor České Budějovice, representsCityInSport, České Budějovice]
-
A.
representsCity
Indicates that one entity serves as the official representative or embodiment of a particular city.
-
B.
representsInSport
Indicates that one entity serves as an official representative of another entity within the context of a particular sport or sporting domain.
-
C.
associatedWithCitySports
Indicates a relationship where an entity has a connection or involvement with city-level sports activities, organizations, or events.
-
D.
cityRepresented
Indicates that one entity serves as the official representative or governing body for a particular city.
-
E.
representsSportTeamsOf
chosen
Indicates that one entity is a sports team that represents, is affiliated with, or acts on behalf of another entity (such as a city, institution, or organization).
- 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_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: April 28, 2026, 4:31 p.m.