Triple
T4297097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brno region |
E99740
|
entity |
| Predicate | containsLandmark |
P1098
|
FINISHED |
| Object | Austerlitz battlefield |
E424882
|
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: Austerlitz battlefield | Statement: [Brno region, containsLandmark, Austerlitz battlefield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Austerlitz battlefield Context triple: [Brno region, containsLandmark, Austerlitz battlefield]
-
A.
Austerlitz battlefield
chosen
Austerlitz battlefield is the historic site in the Czech Republic where Napoleon achieved a decisive victory in the 1805 Battle of Austerlitz, one of his most famous military triumphs.
-
B.
Pont d’Austerlitz
Pont d’Austerlitz is a road and rail bridge over the Seine in Paris, notable for carrying both vehicular traffic and Paris Métro Line 5 between the 12th and 13th arrondissements.
-
C.
Austerlitz
Austerlitz is the original family surname of legendary American dancer, singer, and actor Fred Astaire.
-
D.
Pegnitz
Pegnitz is a river in the German state of Bavaria that flows through cities such as Nuremberg and Bayreuth before joining the Rednitz to form the Regnitz.
-
E.
Sündersbühl
Sündersbühl is a district in Nuremberg, Germany, served by the city’s U3 underground line.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509aebd48190af38f2e37f07869a |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c7439b3481908d2554f7b86002aa |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:08 p.m.