Triple
T17674292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Wijngaarden grammars |
E440604
|
entity |
| Predicate | expressiveness |
P74558
|
FINISHED |
| Object | highly expressive |
—
|
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: highly expressive | Statement: [Van Wijngaarden grammars, expressiveness, highly expressive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expressiveness Context triple: [Van Wijngaarden grammars, expressiveness, highly expressive]
-
A.
expressivenessComparedTo
Indicates a comparison of how expressive one entity is relative to another in conveying meaning, emotion, or nuance.
-
B.
expressivePower
chosen
Indicates the degree to which one system, language, or formalism can represent or capture the behaviors, structures, or concepts expressible in another.
-
C.
expression
Indicates that one entity is a linguistic, mathematical, or symbolic representation or manifestation of another entity.
-
D.
expressiveQuality
Indicates the distinctive emotional or stylistic character conveyed by something, such as how it feels, sounds, or appears in an expressive sense.
-
E.
hasExpressivity
Indicates that one entity possesses a certain level or type of expressive power, capability, or richness in representation relative to another.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6ba22081909e2099490c047378 |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10 a.m.