Triple
T26938023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domžale |
E678437
|
entity |
| Predicate | hasSportsHall |
P12831
|
FINISHED |
| Object | Športna dvorana Domžale |
—
|
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: Športna dvorana Domžale | Statement: [Domžale, hasSportsHall, Športna dvorana Domžale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportsHall Context triple: [Domžale, hasSportsHall, Športna dvorana Domžale]
-
A.
isPartOfSportsVenue
Indicates that one entity is a component, section, or area contained within a larger sports venue.
-
B.
hasBallcourt
Indicates that a place, structure, or site includes or is equipped with a ballcourt as one of its features.
-
C.
mainIndoorArena
chosen
Indicates that one entity serves as the primary indoor arena or main covered venue associated with another entity.
-
D.
hasSportsVenueType
Indicates that a sports venue is classified as being of a specific type or category (e.g., stadium, arena, court).
-
E.
sportsFacility
Indicates that one entity is a sports facility where sports or physical activities can take place for the other entity.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 27, 2026, 6:16 a.m.