Triple
T5034913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transdanubia |
E113398
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Nagykanizsa |
E337046
|
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: Nagykanizsa | Statement: [Transdanubia, containsCity, Nagykanizsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagykanizsa Context triple: [Transdanubia, containsCity, Nagykanizsa]
-
A.
Nagykanizsa
chosen
Nagykanizsa is a city in southwestern Hungary known historically as a regional commercial and cultural center.
-
B.
Κανὰ
Κανὰ is the Greek name for Cana, the Galilean village traditionally associated with Jesus’ first miracle of turning water into wine.
-
C.
Boulder Canyon
Boulder Canyon is a rugged river gorge on the Colorado River in the American Southwest, historically significant in early plans for dam and hydroelectric development in the region.
-
D.
Canyon
Canyon is a 1959 abstract expressionist painting by Helen Frankenthaler, known for its innovative soak-stain technique and luminous color fields.
-
E.
Canyon
Canyon is a famous 1959 combine painting by Robert Rauschenberg that merges traditional painting with found objects, including a stuffed bald eagle, exemplifying his radical blurring of art and everyday materials.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b8646c8190b3cc20193e4639ee |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c759c608190875b6d48d99024b4 |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:36 p.m.