Triple
T11586567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monument to Nikolai Vatutin in Kyiv |
E274770
|
entity |
| Predicate | subjectRank |
P84723
|
FINISHED |
| Object | Army General of the Soviet Union |
—
|
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: Army General of the Soviet Union | Statement: [Monument to Nikolai Vatutin in Kyiv, subjectRank, Army General of the Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectRank Context triple: [Monument to Nikolai Vatutin in Kyiv, subjectRank, Army General of the Soviet Union]
-
A.
natureOfRank
chosen
Indicates the type or character of a rank, specifying what kind of ranking or hierarchical status it represents.
-
B.
educationRanking
Indicates the relative position or level assigned to an entity based on the quality or performance of its educational attributes or outcomes.
-
C.
springRank
Indicates a ranking relationship where entities are ordered or positioned relative to each other based on a spring-like or force-directed hierarchy or influence measure.
-
D.
rankingScope
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
-
E.
authorRank
Indicates the relative standing or position of an author within a ranked ordering, such as by contribution, importance, or prominence.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89462203881908870e991a5b21770 |
completed | April 10, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.