Triple
T15860786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTL* |
E384579
|
entity |
| Predicate | hasExpressivenessRelation |
P70466
|
FINISHED |
| Object | strictly less expressive than the modal mu-calculus |
—
|
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: strictly less expressive than the modal mu-calculus | Statement: [CTL*, hasExpressivenessRelation, strictly less expressive than the modal mu-calculus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExpressivenessRelation Context triple: [CTL*, hasExpressivenessRelation, strictly less expressive than the modal mu-calculus]
-
A.
hasExpressivity
Indicates that one entity possesses a certain level or type of expressive power, capability, or richness in representation relative to another.
-
B.
hasExpressiveRole
Indicates that an entity serves a communicative or expressive function or role in relation to another entity or context.
-
C.
expressivenessComparedTo
chosen
Indicates a comparison of how expressive one entity is relative to another in conveying meaning, emotion, or nuance.
-
D.
moreExpressiveThan
Indicates that one entity conveys ideas, emotions, or information with greater richness, nuance, or clarity than another.
-
E.
hasTypologicalRelation
Indicates a relationship where two linguistic entities are connected based on shared structural or typological features, such as word order, morphology, or phonological patterns.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.