Triple
T7607729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Námestovo |
E180148
|
entity |
| Predicate | hasPublicFunction |
P77750
|
FINISHED |
| Object | local administrative center |
—
|
LITERAL FINISHED |
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: local administrative center | Statement: [Námestovo, hasPublicFunction, local administrative center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicFunction Context triple: [Námestovo, hasPublicFunction, local administrative center]
-
A.
hasPublic
Indicates that an entity is accessible or visible to the general public rather than being private or restricted.
-
B.
containsFunction
Indicates that one entity includes, defines, or provides the implementation of a particular function.
-
C.
hasFunctionInPresent
Indicates that an entity currently performs, exhibits, or fulfills a specific function or role at the present time.
-
D.
hasCoreFunction
Indicates that one entity serves as a primary or essential function or role of another entity.
-
E.
hasFunctionInLegends
Indicates that an entity serves a particular role, purpose, or activity within legendary stories, myths, or folklore.
- F. None of above. chosen
Provenance (4 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6fa1de8a4819091f9e9347835ce16 |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8195e5c8190835e28d44e19f6ef |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:54 p.m.