Triple
T23928826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pochinok, Smolensk Governorate, Russian Empire |
E602433
|
entity |
| Predicate | hasPlaceInferredFrom |
P4466
|
FINISHED |
| Object | birthplace of El Lissitzky |
—
|
LITERAL 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: birthplace of El Lissitzky | Statement: [Pochinok, Smolensk Governorate, Russian Empire, hasPlaceInferredFrom, birthplace of El Lissitzky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlaceInferredFrom Context triple: [Pochinok, Smolensk Governorate, Russian Empire, hasPlaceInferredFrom, birthplace of El Lissitzky]
-
A.
usedToInfer
chosen
Indicates that one entity serves as a basis or source from which another entity is logically derived or concluded.
-
B.
isDerivedFromPlace
Indicates that something originates, is obtained, or conceptually comes from a particular place or location.
-
C.
hasPlaceIn
Indicates that one entity occupies, is located within, or holds a specific position in another entity or context.
-
D.
inferredLaterUse
Indicates that something is deduced or predicted to be used at a subsequent time based on available information or context.
-
E.
hasSubjectPlace
Indicates that something is associated with or occurs in a particular subject-related place or location.
- 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf9a18248190b20991969921ecfd |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:54 p.m.