Triple
T23791190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System F |
E588093
|
entity |
| Predicate | isMoreExpressiveThan |
P70466
|
FINISHED |
| Object | simply typed lambda 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: simply typed lambda calculus | Statement: [System F, isMoreExpressiveThan, simply typed lambda calculus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMoreExpressiveThan Context triple: [System F, isMoreExpressiveThan, simply typed lambda calculus]
-
A.
moreExpressiveThan
Indicates that one entity conveys ideas, emotions, or information with greater richness, nuance, or clarity than another.
-
B.
hasExpressivity
Indicates that one entity possesses a certain level or type of expressive power, capability, or richness in representation relative to another.
-
C.
expressivenessComparedTo
chosen
Indicates a comparison of how expressive one entity is relative to another in conveying meaning, emotion, or nuance.
-
D.
hasExpressiveCharacter
Indicates that something possesses a distinctive, emotionally or stylistically expressive quality or character.
-
E.
hasExpressiveRole
Indicates that an entity serves a communicative or expressive function or role in relation to another entity or context.
- 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c6d8215c8190af4f2dd7478e2c04 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:17 p.m.