Triple
T7372945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yisrael Meir Kagan |
E170052
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Radun |
E648496
|
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: Radun | Statement: [Yisrael Meir Kagan, burialPlace, Radun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radun Context triple: [Yisrael Meir Kagan, burialPlace, Radun]
-
A.
Radun
chosen
Radun is a variant name that can refer to several Eastern European localities, most notably a historic town in present-day Belarus.
-
B.
Barajevo
Barajevo is a suburban municipality of Belgrade, Serbia, located in the southern part of the city’s administrative area.
-
C.
Zrenjanin
Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
-
D.
Valjevo
Valjevo is a historic city in western Serbia known for its role in World War I and its position as a regional cultural and economic center.
-
E.
Novi Pazar
Novi Pazar is a historic city in southwestern Serbia known for its Ottoman-era architecture, multicultural heritage, and proximity to important medieval Serbian monasteries.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a50898819087097a64e09e19eb |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c480ef48190b588a2fffb0b1568 |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:07 p.m.