Triple
T15617700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setomaa region |
E375459
|
entity |
| Predicate | culturalCenter |
P4313
|
FINISHED |
| Object | Värska |
E1155578
|
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: Värska | Statement: [Setomaa region, culturalCenter, Värska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Värska Context triple: [Setomaa region, culturalCenter, Värska]
-
A.
Värska
chosen
Värska is a village in southeastern Estonia known as a cultural center of the Seto people and for its traditional Seto heritage and mineral water.
-
B.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
C.
Valluga
Valluga is a prominent mountain peak in the Austrian Alps, popular for skiing, hiking, and panoramic views over the surrounding alpine ranges.
-
D.
Viedma
Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
-
E.
Valga
Valga is a small border town in southern Estonia known for forming a twin city with Valka in Latvia.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e980b748190b43c0b650bf1e629 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3b643c819093230df6cfe440b9 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:13 a.m.