Triple
T14210163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dísz Square |
E352206
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Sándor Palace |
E162304
|
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: Sándor Palace | Statement: [Dísz Square, nearby, Sándor Palace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sándor Palace Context triple: [Dísz Square, nearby, Sándor Palace]
-
A.
Sándor Palace
chosen
Sándor Palace is a historic neoclassical building in Budapest that serves as the official residence and workplace of the President of Hungary.
-
B.
Rákóczi Palace
Rákóczi Palace is a historic Renaissance-era noble residence and architectural landmark located in the city of Prešov, Slovakia.
-
C.
Andrássy Manor
Andrássy Manor is a historic aristocratic residence and cultural landmark located in the town of Trebišov in eastern Slovakia.
-
D.
Grassalkovich Palace
Grassalkovich Palace is a historic rococo-style palace in Bratislava that serves as the official presidential residence of Slovakia.
-
E.
Vranyczany-Hafner Palace
Vranyczany-Hafner Palace is a historic 19th-century palace in Zagreb, Croatia, notable for its grand architecture and its role as a prominent cultural and museum venue in 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61fa8d24819092a8ec5d34c1c799 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19557f908190abb3dc116676f215 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.