Triple
T16803096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyíregyháza |
E408405
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Satu Mare |
E123254
|
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: Satu Mare | Statement: [Nyíregyháza, twinnedWith, Satu Mare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satu Mare Context triple: [Nyíregyháza, twinnedWith, Satu Mare]
-
A.
Satu Mare
chosen
Satu Mare is a city in northwestern Romania near the Hungarian border, known as a regional economic and cultural center with a diverse ethnic heritage.
-
B.
Caransebeș
Caransebeș is a historic town in western Romania, situated in the Banat region and known as an important local cultural and transportation hub.
-
C.
Crișana
Crișana is a historical region in western Romania, known for its multicultural heritage and location between the Apuseni Mountains and the Hungarian border.
-
D.
Piatra Neamț
Piatra Neamț is a historic city in northeastern Romania, known for its picturesque setting in the Carpathian foothills and rich cultural heritage.
-
E.
Piatra-Olt
Piatra-Olt is a small town in southern Romania known as a local railway junction and administrative center within Olt County.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2ca46f88190b56e81d75012496c |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170dd38708190b17cee0ab6cee6eb |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:22 a.m.