Triple
T16764462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prague 1 |
E407427
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Malá Strana |
E166694
|
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: Malá Strana | Statement: [Prague 1, contains, Malá Strana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malá Strana Context triple: [Prague 1, contains, Malá Strana]
-
A.
Malá Strana
chosen
Malá Strana is a historic district of Prague known for its baroque architecture, narrow streets, and location beneath Prague Castle along the Vltava River.
-
B.
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.
-
C.
Staroměstská
Staroměstská is a Prague Metro station on Line A located near the historic Old Town district and major landmarks such as the Old Town Square and Charles Bridge.
-
D.
Žižkov
Žižkov is a historic, traditionally working-class district of Prague known for its dense urban fabric, vibrant nightlife, and notable landmarks such as the Žižkov Television Tower and several important cemeteries.
-
E.
Vršovice
Vršovice is a district in Prague, Czech Republic, known for its residential neighborhoods, sports facilities, and historic architecture.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abef492c8190880d3b39c3641eed |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52ff9d481909675c7e1f81191dc |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.