Triple
T34113506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagorny District |
E874902
|
entity |
| Predicate | belongsToFederalSubject |
P199531
|
FINISHED |
| Object | Moscow |
—
|
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: Moscow | Statement: [Nagorny District, belongsToFederalSubject, Moscow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToFederalSubject Context triple: [Nagorny District, belongsToFederalSubject, Moscow]
-
A.
containsFederalSubject
Indicates that one administrative or territorial entity includes a specific federal subject within its jurisdiction or boundaries.
-
B.
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.
-
C.
belongsToNationState
Indicates that an entity is a member, part, or constituent of a specific nation-state, reflecting a formal or recognized association with that country.
-
D.
stateFederationAffiliation
Indicates that a state is formally affiliated with, or a member of, a particular federation or federal entity.
-
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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff409ff5548190849c2d50e99bd807 |
completed | May 9, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69ff401a5e188190a72f945e910b4a6c |
completed | May 9, 2026, 2:09 p.m. |
| PDg | Predicate description generation | batch_69ff409ee6ec819088b7c13fabed2ac2 |
completed | May 9, 2026, 2:11 p.m. |
Created at: May 1, 2026, 1:53 a.m.