Triple
T27568144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czech Republic NUTS 3 regions |
E695957
|
entity |
| Predicate | correspondTo |
P106119
|
FINISHED |
| Object | Czech regions (kraje) |
—
|
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: Czech regions (kraje) | Statement: [Czech Republic NUTS 3 regions, correspondTo, Czech regions (kraje)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondTo Context triple: [Czech Republic NUTS 3 regions, correspondTo, Czech regions (kraje)]
-
A.
correspondsWith
chosen
Indicates that two entities are in mutual alignment or agreement, such that one matches, parallels, or is equivalent to the other in a specified respect.
-
B.
correspondsToStar
Indicates that one entity is matched or associated with a specific star as its corresponding counterpart.
-
C.
containsCorrespondenceWith
Indicates that one entity includes or holds correspondence (such as messages or communications) that is associated with or exchanged with another entity.
-
D.
correspondsToSurname
Indicates that one entity is the surname or family name associated with, matching, or representing the other entity.
-
E.
value1CorrespondsTo
Indicates that one value is directly associated with, matches, or maps to another value in a defined correspondence.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 1:42 p.m.