Triple
T19967937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micha Josef Berdyczewski |
E479989
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Berdychiv |
—
|
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: Berdychiv | Statement: [Micha Josef Berdyczewski, placeOfBirth, Berdychiv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berdychiv Context triple: [Micha Josef Berdyczewski, placeOfBirth, Berdychiv]
-
A.
Berdichev
chosen
Berdichev is a historic city in present-day Ukraine, long known as a major center of Jewish life and commerce in Eastern Europe.
-
B.
Chortkiv
Chortkiv is a historic town in western Ukraine known for its architectural landmarks and role as a local cultural and administrative center.
-
C.
Zbarazh
Zbarazh is a historic town in western Ukraine known for its medieval castle and role in regional political and military history.
-
D.
Berezhany
Berezhany is a historic town in western Ukraine’s Ternopil Oblast, known for its well-preserved Renaissance castle and multicultural heritage.
-
E.
Drohobych
Drohobych is a historic city in western Ukraine known for its medieval architecture, salt production heritage, and association with writer and artist Bruno Schulz.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc6b0208190b1ae30be95712326 |
completed | April 20, 2026, 5 p.m. |
Created at: April 10, 2026, 1:54 p.m.