Triple
T31448309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Academic Theatre |
E802247
|
entity |
| Predicate | hasEquivalentConcept |
P7398
|
FINISHED |
| Object | academic theatre (Russia) |
—
|
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: academic theatre (Russia) | Statement: [State Academic Theatre, hasEquivalentConcept, academic theatre (Russia)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEquivalentConcept Context triple: [State Academic Theatre, hasEquivalentConcept, academic theatre (Russia)]
-
A.
equivalentTo
Indicates that two entities represent the same concept, value, or state, and can be treated as interchangeable in the given context.
-
B.
equivalentIn
Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
-
C.
hasEquivalent
chosen
Indicates that two entities are considered equal in value, meaning, or function within a given context.
-
D.
hasConceptualParallel
Indicates that one entity corresponds to or mirrors another at a conceptual level, showing a similar idea, structure, or pattern despite possible differences in form or context.
-
E.
hasConjugateConcept
Indicates that one concept is the conjugate (e.g., complex, algebraic, or structurally dual counterpart) of another concept within a given formal system.
- 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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:11 p.m.