Triple
T33760303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svatý Petr |
E865087
|
entity |
| Predicate | isSectorOf |
P85342
|
FINISHED |
| Object | Špindlerův Mlýn ski resort |
—
|
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: Špindlerův Mlýn ski resort | Statement: [Svatý Petr, isSectorOf, Špindlerův Mlýn ski resort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSectorOf Context triple: [Svatý Petr, isSectorOf, Špindlerův Mlýn ski resort]
-
A.
sectorOfGovernedEntity
Indicates the economic or administrative sector to which a governed entity (such as a jurisdiction or organization under governance) belongs.
-
B.
isMunicipalSectorOf
chosen
Indicates that one entity is a municipal-level subdivision, department, or sector that forms part of the organizational structure of another entity (typically a municipality or local government).
-
C.
isPartOfBusinessArea
Indicates that one entity belongs to, is included within, or falls under the scope of a particular business area.
-
D.
servesPartOf
Indicates that one entity functions as a service or provider that operates within, or as a component of, another larger system or context.
-
E.
isSectorSpecific
Indicates that something is tailored or restricted to a particular industry or sector rather than being generally applicable.
- 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.