Triple
T37781796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turóc |
E941849
|
entity |
| Predicate | hasCulturalInstitutionInMartin |
P109821
|
FINISHED |
| Object | Matica slovenská |
—
|
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: Matica slovenská | Statement: [Turóc, hasCulturalInstitutionInMartin, Matica slovenská]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalInstitutionInMartin Context triple: [Turóc, hasCulturalInstitutionInMartin, Matica slovenská]
-
A.
hasCulturalCentre
Indicates that one entity possesses, hosts, or contains a cultural centre associated with it.
-
B.
isCulturalInstitutionOf
chosen
Indicates that an entity functions as a cultural institution belonging to, serving, or associated with another entity (such as a place, community, or organization).
-
C.
hasMuseumAt
Indicates that a museum is located at or exists in a specified place or location.
-
D.
hasCulturalInstitutionStatus
Indicates that an entity holds an official designation or recognition as a cultural institution.
-
E.
hasCulturalHeritageOn
Indicates that one entity possesses, preserves, or is associated with the cultural heritage embodied in another 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_69f76ee5cb0c81909a363d1c929156c0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe87b609888190913b0c3f787ecdba |
completed | May 9, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69fe8731af48819092084f6f74bf052d |
completed | May 9, 2026, 1 a.m. |
Created at: May 3, 2026, 4:19 p.m.