Triple
T13697918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pechorsky District |
E328435
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Pechory |
E1025402
|
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: Pechory | Statement: [Pechorsky District, containsSettlement, Pechory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pechory Context triple: [Pechorsky District, containsSettlement, Pechory]
-
A.
Pechory
chosen
Pechory is a historic town in western Russia near the Estonian border, known for its religious significance and well-preserved medieval architecture.
-
B.
Dzyatlava
Dzyatlava is a small historic town in present-day Belarus, known for its Jewish heritage and as the birthplace of the influential rabbi and ethicist Yisrael Meir Kagan (the Chofetz Chaim).
-
C.
Borisoglebsk
Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
-
D.
Volochysk
Volochysk is a town in western Ukraine known as a local administrative and transportation center near the border with Ternopil Oblast.
-
E.
Dzyarzhynsk
Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc878b57c819094e7ea6d1a64211f |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b06554748190bf76e3383413a3c4 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.