Triple
T13987980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minimalist semantics |
E336490
|
entity |
| Predicate | viewsMeaningAs |
P68350
|
FINISHED |
| Object | product of syntactic derivation plus interpretive principles |
—
|
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: product of syntactic derivation plus interpretive principles | Statement: [Minimalist semantics, viewsMeaningAs, product of syntactic derivation plus interpretive principles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsMeaningAs Context triple: [Minimalist semantics, viewsMeaningAs, product of syntactic derivation plus interpretive principles]
-
A.
viewsAs
Indicates that one entity perceives, interprets, or regards another entity in a particular way or role.
-
B.
viewsBehaviorAs
Indicates that one entity interprets, judges, or regards another entity’s behavior in a particular way.
-
C.
overallMeaning
Indicates the general or overarching significance, interpretation, or message conveyed by something as a whole.
-
D.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
E.
logicalMeaning
chosen
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea537408190bb9d35963886803f |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.