Triple
T3180899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Caucasian Federal District |
E66581
|
entity |
| Predicate | federalSubjectCount |
P45691
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [North Caucasian Federal District, federalSubjectCount, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: federalSubjectCount Context triple: [North Caucasian Federal District, federalSubjectCount, 7]
-
A.
federalSubject
Indicates that one entity is a federal subject (a primary administrative or constituent unit) of the other entity, typically a sovereign state or federation.
-
B.
containsFederalSubject
Indicates that one administrative or territorial entity includes a specific federal subject within its jurisdiction or boundaries.
-
C.
federalDivision
Indicates that one entity is a federal-level administrative or political subdivision (such as a state, province, or territory) within the jurisdiction of another entity.
-
D.
federalRepresentationLevel
Indicates the degree or tier at which an entity is represented within a federal governmental structure or system.
-
E.
usedInFederalSubject
Indicates that something (such as a law, standard, or resource) is applied, implemented, or in effect within a specific federal subject (administrative region) of a country.
- F. None of above. chosen
Provenance (4 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6a1280c8190b59a2afd30312c02 |
completed | March 8, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69ad9e02677c8190a21d93b1259b2761 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:06 p.m.