Triple
T16232180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nusle Valley |
E394009
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Vinohrady |
E1206445
|
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: Vinohrady | Statement: [Nusle Valley, near, Vinohrady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinohrady Context triple: [Nusle Valley, near, Vinohrady]
-
A.
Vinohrady
chosen
Vinohrady is a historic and upscale residential district in Prague known for its elegant Art Nouveau architecture, leafy parks, and vibrant café and nightlife scene.
-
B.
Vršovice
Vršovice is a district in Prague, Czech Republic, known for its residential neighborhoods, sports facilities, and historic architecture.
-
C.
Hradčany
Hradčany is the historic castle district of Prague, known for encompassing Prague Castle and many of the city's most important cultural and political landmarks.
-
D.
Prague 7
Prague 7 is a municipal district of Prague, Czech Republic, known for its residential neighborhoods, parks, and cultural institutions along the Vltava River.
-
E.
Prague 8
Prague 8 is a municipal district of Prague that includes a mix of historic neighborhoods and modern residential and commercial areas along the northeastern part of the city.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2b0cc48190853919135d5a172a |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00456f2ba481909f243ab2c4619623 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:04 a.m.