Triple
T151516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | federal city of Sevastopol (within Russia, de facto) |
E3440
|
entity |
| Predicate | hasStatusUnderRussianLaw |
P2250
|
FINISHED |
| Object | federal city |
—
|
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: federal city | Statement: [federal city of Sevastopol (within Russia, de facto), hasStatusUnderRussianLaw, federal city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatusUnderRussianLaw Context triple: [federal city of Sevastopol (within Russia, de facto), hasStatusUnderRussianLaw, federal city]
-
A.
hasLegalStatus
chosen
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
B.
isSubjectTo
Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of another entity.
-
C.
hasJurisdictionOver
Indicates that one authority or governing body holds legal power or control to make and enforce decisions over another entity, area, or matter.
-
D.
hasInformalStatus
Indicates that an entity holds a non-official, casual, or unofficial standing or role in relation to another entity.
-
E.
useCriminalizedUnderGagLaw
Indicates that the act of using something is treated as a criminal offense under a specific gag law or speech-restricting legal provision.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2580f55a88190b37b54ee0ed5ac7c |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a2565adaf48190b68ae4444ff83ccd |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.