Triple
T10408714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Post-Soviet states |
E245331
|
entity |
| Predicate | includesCaucasusStates |
P93964
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Post-Soviet states, includesCaucasusStates, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCaucasusStates Context triple: [Post-Soviet states, includesCaucasusStates, true]
-
A.
includesSovereignState
Indicates that one entity encompasses or contains a sovereign state within its scope, membership, or composition.
-
B.
continentIncludes
Indicates that a particular continent geographically contains or encompasses a specified region, country, or area.
-
C.
partOfFormerSovietRepublic
Indicates that one entity was a territorial or administrative component of a country that was formerly a republic of the Soviet Union.
-
D.
includesStateOrProvince
Indicates that one entity geographically contains or encompasses a specific state or province within its boundaries.
-
E.
includesCountryWithFrozenConflict
Indicates that the entity encompasses or contains at least one country that is involved in an unresolved or "frozen" armed conflict.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9faa97c819092cadedadabe26bf |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:09 p.m.