Triple
T5407272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Zsitvatorok |
E120922
|
entity |
| Predicate | locationSigned |
P441
|
FINISHED |
| Object | Zsitvatorok |
E448575
|
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: Zsitvatorok | Statement: [Treaty of Zsitvatorok, locationSigned, Zsitvatorok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zsitvatorok Context triple: [Treaty of Zsitvatorok, locationSigned, Zsitvatorok]
-
A.
Zsitvatorok
chosen
Zsitvatorok is a town in modern-day Hungary best known as the site of the 1606 peace treaty that ended the Long War between the Habsburg Monarchy and the Ottoman Empire.
-
B.
Parádfürdő
Parádfürdő is a spa village in northern Hungary known for its mineral springs and scenic location within the Mátra mountain region.
-
C.
Somlyó
Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
-
D.
Mátraháza
Mátraháza is a small mountain resort village in northern Hungary, known for its scenic location in the Mátra range and its hiking and wellness tourism.
-
E.
Perjeta
Perjeta is a monoclonal antibody drug used in combination therapies to treat HER2-positive breast cancer.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8793ab3c81909992b257d462a554 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf33990f248190841493f0720aa8ee |
completed | March 22, 2026, 12:11 a.m. |
Created at: March 20, 2026, 2:05 p.m.