Triple
T15912069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olomouc District |
E385872
|
entity |
| Predicate | hasTowns |
P847
|
FINISHED |
| Object | several towns including Olomouc, Šternberk, Litovel and Uničov |
—
|
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: several towns including Olomouc, Šternberk, Litovel and Uničov | Statement: [Olomouc District, hasTowns, several towns including Olomouc, Šternberk, Litovel and Uničov]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTowns Context triple: [Olomouc District, hasTowns, several towns including Olomouc, Šternberk, Litovel and Uničov]
-
A.
hasTown
chosen
Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
-
B.
hasTownship
Indicates that one administrative area or jurisdiction includes or is associated with a specific township.
-
C.
hasNotableTown
Indicates that an entity includes or is associated with a town that is considered notable or significant in some way.
-
D.
hasCoreTown
Indicates that an entity possesses or is associated with a primary or central town that serves as its main urban center.
-
E.
hasHillTowns
Indicates that a place or region contains or is associated with one or more towns located on or around hills.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.