Triple
T1888844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancing House |
E41822
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Rašínovo nábřeží |
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: Rašínovo nábřeží | Statement: [Dancing House, locatedOn, Rašínovo nábřeží]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rašínovo nábřeží Context triple: [Dancing House, locatedOn, Rašínovo nábřeží]
-
A.
Havelchaussee shoreline
The Havelchaussee shoreline is a scenic waterfront area along the River Havel in Berlin, known for its wooded banks, recreational paths, and views across the water.
-
B.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
C.
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.
-
D.
Kaliště
Kaliště is a small village in the Czech Republic best known as the birthplace of composer Gustav Mahler.
-
E.
Sezimovo Ústí
Sezimovo Ústí is a town in the South Bohemian Region of the Czech Republic, historically noted as the place where Czechoslovak president Edvard Beneš spent his final years and died.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb12382b481908cd26b56f8558226 |
completed | March 7, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf665bd48190b08ff5159333b99b |
completed | March 8, 2026, 8:43 p.m. |
Created at: March 4, 2026, 7:34 p.m.