Triple
T19767788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baal HaTanya |
E474802
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Pyena |
—
|
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: Pyena | Statement: [Baal HaTanya, deathPlace, Pyena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pyena Context triple: [Baal HaTanya, deathPlace, Pyena]
-
A.
Pyena
chosen
Pyena is a locality in present-day Belarus historically notable as the place where the founder of Chabad Hasidism, Shneur Zalman of Liadi, passed away.
-
B.
Panke
Panke is a small river in northeastern Germany that flows through Berlin and Brandenburg before joining the Spree.
-
C.
Piene
Piene is a German surname most notably associated with Otto Piene, a pioneering artist and co-founder of the ZERO movement.
-
D.
Nacyna
Nacyna is a small river in southern Poland that flows through the city of Rybnik.
-
E.
Nednai
Nednai is an alternate name for the Nednhi Apache, a subgroup of the Chiricahua Apache people historically living in northern Mexico and the U.S. Southwest.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65358fc3c8190867fea2a2c4e7594 |
completed | April 20, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:48 p.m.