Triple
T17525737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liozna |
E426790
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Liozno |
—
|
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: Liozno | Statement: [Liozna, hasAlternativeName, Liozno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liozno Context triple: [Liozna, hasAlternativeName, Liozno]
-
A.
Liozna
chosen
Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
-
B.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
-
C.
Orlovets
Orlovets is a prominent mountain peak in Bulgaria’s Rila Mountains, popular with hikers and climbers for its rugged alpine terrain and scenic views.
-
D.
Kraslava
Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
-
E.
Klabava
Klabava is a river in the Plzeň Region of the Czech Republic that flows through the Rokycany District and serves as a tributary of the Berounka River.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d6a2548190acf26f2d5d4aab66 |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.