Triple
T17594911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somorja |
E428543
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Csallóköz |
—
|
NE NERFINISHED |
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: Csallóköz | Statement: [Somorja, historicalRegion, Csallóköz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Csallóköz Context triple: [Somorja, historicalRegion, Csallóköz]
-
A.
Csallóköz
chosen
Csallóköz is a large river island and historical region in southwestern Slovakia, situated between branches of the Danube and known for its fertile land and significant freshwater resources.
-
B.
Nagykálló
Nagykálló is a town in northeastern Hungary known for its historical architecture and traditional cultural heritage.
-
C.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
D.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
E.
Nagycsarnok
Nagycsarnok is Budapest’s largest and most famous indoor market hall, renowned for its grand architecture and bustling stalls selling fresh produce, local foods, and Hungarian specialties.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ead59c8190a06519311891af3c |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.