Triple
T17486899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pragmatic maxim |
E425799
|
entity |
| Predicate | definesMeaningInTermsOf |
P78654
|
FINISHED |
| Object | practical consequences |
—
|
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: practical consequences | Statement: [pragmatic maxim, definesMeaningInTermsOf, practical consequences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesMeaningInTermsOf Context triple: [pragmatic maxim, definesMeaningInTermsOf, practical consequences]
-
A.
inspiredTermMeaning
Indicates that one term’s meaning is derived from, modeled after, or conceptually influenced by another term.
-
B.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
-
C.
oftenDefines
chosen
Indicates that one entity frequently serves to specify, characterize, or determine the nature, meaning, or boundaries of another entity.
-
D.
commonMeaning
Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
-
E.
conceptualMeaning
Indicates the abstract idea, concept, or underlying significance that something represents or conveys.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d2a5208190b25944626e779fdc |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.