Triple
T10171281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | March |
E235334
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Hodonín |
E419333
|
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: Hodonín | Statement: [March, flowsNear, Hodonín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hodonín Context triple: [March, flowsNear, Hodonín]
-
A.
Hodonín
chosen
Hodonín is a town in the South Moravian Region of the Czech Republic, notable as the birthplace of the first Czechoslovak president Tomáš Garrigue Masaryk.
-
B.
Husinec
Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
-
C.
Moravice
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
-
D.
Zbyhněv
Zbyhněv is a given name, likely a variant or regional form of the Slavic name Zbigniew.
-
E.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
- 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.