Triple
T9434708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benešov |
E227473
|
entity |
| Predicate | hasRailConnectionTo |
P848
|
FINISHED |
| Object | České Budějovice |
E186483
|
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: České Budějovice | Statement: [Benešov, hasRailConnectionTo, České Budějovice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: České Budějovice Context triple: [Benešov, hasRailConnectionTo, České Budějovice]
-
A.
České Budějovice
chosen
České Budějovice is a historic city in the Czech Republic known for its medieval architecture and as the original home of Budweiser Budvar beer.
-
B.
Moravské Budějovice
Moravské Budějovice is a small historic town in the Czech Republic known for its traditional architecture and regional cultural heritage.
-
C.
Žatec
Žatec is a historic Czech town in the Ústí nad Labem Region renowned for its long-standing hop-growing tradition and beer production.
-
D.
Plzeň
Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
-
E.
Jihlava
Jihlava is a river in the Czech Republic that flows through the historical region of Moravia, including the city of Jihlava, before joining the Svratka River.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e62d53c81908055e0967e6cd54d |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96af89e48819093a6c149ac988391 |
completed | April 10, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:50 p.m.