Triple
T29623173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All-Russian Extraordinary Commission |
E755056
|
entity |
| Predicate | subsequentInstitution |
P129121
|
FINISHED |
| Object | OGPU |
—
|
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: OGPU | Statement: [All-Russian Extraordinary Commission, subsequentInstitution, OGPU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentInstitution Context triple: [All-Russian Extraordinary Commission, subsequentInstitution, OGPU]
-
A.
hasFurtherEducationInstitution
Indicates that an entity is associated with, or has access to, a further education institution (such as a college or post-secondary training provider).
-
B.
laterInstitutionKnownAs
chosen
Indicates that an institution was subsequently renamed or rebranded and is now known by a later institutional name.
-
C.
hasFormerInstitution
Indicates that an entity was previously affiliated with, employed by, or enrolled in a particular institution in the past.
-
D.
undergraduateInstitutionOf
Indicates that one entity is the institution where the other entity completed or pursued their undergraduate studies.
-
E.
degreeGrantingInstitution
Indicates the institution that formally awarded a particular academic degree to an 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_69f0ef86b6ec8190a87fff07fd983b1e |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 6:35 p.m.