Triple
T8292611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukrainian Jews |
E193935
|
entity |
| Predicate | notableHasidicDynastyOrigin |
P82576
|
FINISHED |
| Object | Belz |
E139785
|
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: Belz | Statement: [Ukrainian Jews, notableHasidicDynastyOrigin, Belz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belz Context triple: [Ukrainian Jews, notableHasidicDynastyOrigin, Belz]
-
A.
Belz
chosen
Belz is a prominent Hasidic dynasty originating in the town of Belz (now in Ukraine), known for its influential rabbis, large following, and distinctive religious traditions.
-
B.
Gumbinnen
Gumbinnen was a town in former East Prussia (now Gusev, Russia) that served as a significant site of military operations on the Eastern Front in both World Wars.
-
C.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
D.
Bromberg
Bromberg is the former German name for the city of Bydgoszcz, a major urban and industrial center in present-day north-central Poland.
-
E.
Bogrod
Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cbd11ed22c819082bf036602eaa038 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6899b818819090c80a8eba7d5d4c |
completed | April 1, 2026, 6:48 p.m. |
Created at: March 30, 2026, 5:52 p.m.