Triple
T4838802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shneur Zalman of Liadi |
E108128
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Liozna |
E426790
|
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: Liozna | Statement: [Shneur Zalman of Liadi, birthPlace, Liozna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liozna Context triple: [Shneur Zalman of Liadi, birthPlace, Liozna]
-
A.
Liozna
chosen
Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
-
B.
Luzhitsy
Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
-
C.
Kraslava
Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
-
D.
Livoberezhna
Livoberezhna is a metro station on the Kyiv Metro system, serving the left-bank area of Ukraine’s capital city.
-
E.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce4a5108190aede620d5dde1f81 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cc5861881908ad3838168325a34 |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:25 p.m.