Triple
T13849402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Győr |
E332893
|
entity |
| Predicate | locatedAtConfluenceOf |
P11842
|
FINISHED |
| Object | Rábca |
E412771
|
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: Rábca | Statement: [Győr, locatedAtConfluenceOf, Rábca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rábca Context triple: [Győr, locatedAtConfluenceOf, Rábca]
-
A.
Rába
chosen
Rába is a river in Central Europe that flows primarily through western Hungary and parts of Austria, eventually joining the Danube.
-
B.
Ráckeve
Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
-
C.
Vráble
Vráble is a small town in western Slovakia known for its agricultural surroundings and location near the city of Nitra.
-
D.
Roháče
Roháče is a rugged, alpine subrange of the Western Tatras in Slovakia, known for its sharp peaks, glacial lakes, and popular hiking trails.
-
E.
Dubiecko
Dubiecko is a small historic town in southeastern Poland, known as the birthplace of Enlightenment-era poet and bishop Ignacy Krasicki.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02d8fb788190baef7537be2baecb |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1bbee14819082e1a381a5950e07 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:14 p.m.