Triple
T16972837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svatava |
E411729
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Svatava (Czech) |
E411729
|
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: Svatava (Czech) | Statement: [Svatava, hasNameInLanguage, Svatava (Czech)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svatava (Czech) Context triple: [Svatava, hasNameInLanguage, Svatava (Czech)]
-
A.
Svatava
chosen
Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
-
B.
Svitavy
Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
-
C.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
D.
Slavkov u Brna
Slavkov u Brna is a historic Czech town best known as the site of the Battle of Austerlitz, one of Napoleon’s most famous victories.
-
E.
Malostranská
Malostranská is a Prague Metro station on Line A serving the historic Malá Strana (Lesser Town) district near Prague Castle.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0ae47f08190a13e98d20aba7f16 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d4738fbc819099e8281ebc777091 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.