Triple
T23576183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyzhnytsia |
E580262
|
entity |
| Predicate | isOriginalHomeOf |
P38603
|
FINISHED |
| Object | Vizhnitz Hasidic dynasty |
—
|
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: Vizhnitz Hasidic dynasty | Statement: [Vyzhnytsia, isOriginalHomeOf, Vizhnitz Hasidic dynasty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOriginalHomeOf Context triple: [Vyzhnytsia, isOriginalHomeOf, Vizhnitz Hasidic dynasty]
-
A.
isHomeOf
Indicates that a place serves as the primary residence or base for a person, group, or organization.
-
B.
isPermanentHomeOf
Indicates that a location serves as the long-term, primary residence for a particular entity.
-
C.
originalHomeland
chosen
Indicates the place or region that is considered the ancestral or earliest homeland of an entity.
-
D.
houseOfOrigin
Indicates the original location, institution, or context from which an entity first came or was initially produced.
-
E.
wasHomelandIn
Indicates that a location historically served as the homeland or place of origin for a specified group or entity.
- F. None of above.
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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd6608481909a0d293ba8f65b2b |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:38 p.m.