Triple
T17655375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Šlapanice |
E429607
|
entity |
| Predicate | hasCommuterRoleFor |
P13163
|
FINISHED |
| Object | Brno employment market |
—
|
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: Brno employment market | Statement: [Šlapanice, hasCommuterRoleFor, Brno employment market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommuterRoleFor Context triple: [Šlapanice, hasCommuterRoleFor, Brno employment market]
-
A.
hasCommuterOperator
Indicates that an entity (such as a route, service, or station) is operated or served by a specific commuter transport operator.
-
B.
isCommuterHub
Indicates that a location functions as a central node where many commuters start, end, or transfer during their regular travel.
-
C.
hasCommuterPattern
Indicates that there is a characteristic or recurring pattern in how an entity regularly travels between locations, typically for work or daily activities.
-
D.
hasCommuterLinks
Indicates that there are established transportation connections enabling regular travel between two locations.
-
E.
isCommuterRegionFor
chosen
Indicates that one region primarily serves as a residential base whose inhabitants regularly travel to another region for work or daily activities.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e40e344819086a49c69f8f2956b |
completed | April 19, 2026, 5:55 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 6:06 a.m.