Triple
T9949515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Csongrád-Csanád County |
E195292
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Csongrád |
E848639
|
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: Csongrád | Statement: [Csongrád-Csanád County, contains, Csongrád]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Csongrád Context triple: [Csongrád-Csanád County, contains, Csongrád]
-
A.
Csongrád
chosen
Csongrád is a historic town in southern Hungary known for its location along the Tisza River and its traditional architecture.
-
B.
Csongrád-Csanád County
Csongrád-Csanád County is an administrative region in southeastern Hungary, known for its agricultural plains and for having Szeged as its county seat and largest city.
-
C.
Heves County
Heves County is an administrative region in northern Hungary known for its natural landscapes, including part of the Mátra mountain range, and historic towns such as Eger.
-
D.
Veszprém County
Veszprém County is an administrative region in western Hungary known for its historic city of Veszprém and its location along the northern shore of Lake Balaton.
-
E.
Zala County
Zala County is an administrative region in southwestern Hungary known for its rolling hills, thermal spas, and proximity to Lake Balaton and the Croatian border.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb65a4e6c8190968192a24aad1b7d |
completed | April 2, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f6b5338481909e05d82ceb8fadf5 |
completed | April 9, 2026, 12:45 a.m. |
Created at: March 30, 2026, 8:45 p.m.