Triple
T10171280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | March |
E235334
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Uherské Hradiště |
E464982
|
NE 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: Uherské Hradiště | Statement: [March, flowsNear, Uherské Hradiště]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uherské Hradiště Context triple: [March, flowsNear, Uherské Hradiště]
-
A.
Uherské Hradiště
chosen
Uherské Hradiště is a historic town in the Zlín Region of the Czech Republic, known as a cultural center of the Moravian Slovakia ethnographic area.
-
B.
Strakonice
Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
-
C.
Humpolec
Humpolec is a town in the Czech Republic known for its location in the Bohemian-Moravian Highlands and its historical textile and brewing industries.
-
D.
Hradek nad Nisou
Hrádek nad Nisou is a small town in the Liberec Region of the Czech Republic, near the borders with Germany and Poland.
-
E.
Husinec
Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9e4e0c819097dceb7bf7757948 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a7d465bc8190b419de253616b0fd |
completed | April 8, 2026, 7:09 p.m. |
Created at: March 30, 2026, 9:10 p.m.