Triple
T6999737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sándor Palace |
E162304
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | State of Hungary |
E617841
|
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: State of Hungary | Statement: [Sándor Palace, ownedBy, State of Hungary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State of Hungary Context triple: [Sándor Palace, ownedBy, State of Hungary]
-
A.
Hungarian state
chosen
The Hungarian state is the sovereign political entity representing the nation of Hungary, encompassing its government, territory, and legal order.
-
B.
Slovakia and Hungary
Slovakia and Hungary are neighboring Central European countries that share a significant stretch of their border along the Danube River.
-
C.
Hungarian People's Republic
The Hungarian People's Republic was a socialist state in Central Europe that existed from 1949 to 1989 under communist rule and Soviet influence.
-
D.
Hungary
Hungary is a landlocked Central European country known for its rich history, distinct language (Hungarian), and capital city Budapest, famed for its thermal baths and architecture.
-
E.
Austria and Hungary
Austria and Hungary are neighboring Central European countries with closely linked histories, cultures, and transportation networks.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0e54c88190b092870f2d128510 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a2c510c8190b7c86f8b399388ae |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.