Triple
T12309507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Šamorín |
E293439
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object | Somorja |
E428543
|
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: Somorja | Statement: [Šamorín, historicalName, Somorja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somorja Context triple: [Šamorín, historicalName, Somorja]
-
A.
Somorja
chosen
Somorja is the Hungarian name for Šamorín, a town in southwestern Slovakia known for its multicultural heritage and proximity to Bratislava.
-
B.
Soroa
Soroa is a small Cuban village and popular ecotourism destination known for its lush mountain scenery, waterfalls, and orchid garden.
-
C.
Iriba
Iriba is a town in eastern Chad that serves as an important local center within the Wadi Fira region.
-
D.
Egau
Egau is a small river in the German state of Baden-Württemberg that flows through the district of Heidenheim.
-
E.
Sulden
Sulden is a small alpine village and ski resort in South Tyrol, northern Italy, known for its dramatic high-mountain scenery in the Ortler Alps.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f01ace8819087f245b9216f4dc8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8243d48190baf25b2927de6c62 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.