Triple
T27037996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baník Ostrava |
E681107
|
entity |
| Predicate | homeRegionSupport |
P161792
|
FINISHED |
| Object | strong support in Ostrava and surrounding areas |
—
|
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: strong support in Ostrava and surrounding areas | Statement: [Baník Ostrava, homeRegionSupport, strong support in Ostrava and surrounding areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeRegionSupport Context triple: [Baník Ostrava, homeRegionSupport, strong support in Ostrava and surrounding areas]
-
A.
supportsRegion
Indicates that one entity provides assistance, resources, or backing to a specific geographic or administrative region.
-
B.
issuerRegionServed
Indicates the geographic region or area that the issuer provides services to or operates within.
-
C.
hasRegionalServices
Indicates that an entity provides or is associated with services that operate within a specific geographic region or set of regions.
-
D.
supportsRegionRestriction
Indicates that an entity enforces or accommodates limitations on availability or access based on geographic regions.
-
E.
serviceRegion
Indicates the geographic area or jurisdiction within which a service is provided or applicable.
- 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62269df6881908d2b4648e4b67ced |
completed | May 2, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 27, 2026, 7:17 a.m.