Triple
T22604984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sursilvan |
E566530
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Surmiran |
—
|
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: Surmiran | Statement: [Sursilvan, closelyRelatedTo, Surmiran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surmiran Context triple: [Sursilvan, closelyRelatedTo, Surmiran]
-
A.
Surmiran
chosen
Surmiran is one of the main dialects of the Romansh language, traditionally spoken in the central region of the Swiss canton of Graubünden.
-
B.
Soligalich
Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
-
C.
Gormati
Gormati is the traditional language spoken by the Banjara people, a nomadic community in India known for its distinct culture and heritage.
-
D.
Maselheim
Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
-
E.
Sormitz
The Sormitz is a river in Thuringia, Germany, known for flowing through towns such as Leutenberg before joining the Saale.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f162709d808190af83837104a190f9 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:53 p.m.