Triple
T12559071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petrovna |
E295292
|
entity |
| Predicate | namingLawStatus |
P62292
|
FINISHED |
| Object | official element of legal name in Russia |
—
|
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: official element of legal name in Russia | Statement: [Petrovna, namingLawStatus, official element of legal name in Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namingLawStatus Context triple: [Petrovna, namingLawStatus, official element of legal name in Russia]
-
A.
legalStatusOfName
chosen
Indicates the legal status or validity of a given name within a formal or regulatory context.
-
B.
legalCodeStatus
Indicates the legal or regulatory status assigned to a specific code within a legal or statutory system (e.g., active, repealed, pending).
-
C.
legalStatusAfterRenaming
Indicates the legal status or classification that applies to an entity after it has undergone a renaming.
-
D.
tier2StateLawStatus
Indicates the legal status or condition of something as defined by a second-level (tier 2) state law or regulatory framework.
-
E.
nameStatus
Indicates the status or condition associated with an entity’s name, such as whether it is current, preferred, alternate, or deprecated.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:48 p.m.