Triple
T738318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port-Royal Grammar |
E14983
|
entity |
| Predicate | inLanguageTheory |
P19441
|
FINISHED |
| Object | treats grammar as a reflection of the structure of thought |
—
|
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: treats grammar as a reflection of the structure of thought | Statement: [Port-Royal Grammar, inLanguageTheory, treats grammar as a reflection of the structure of thought]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inLanguageTheory Context triple: [Port-Royal Grammar, inLanguageTheory, treats grammar as a reflection of the structure of thought]
-
A.
hasLinguisticTypology
Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
-
B.
linguisticClassification
Indicates the relationship by which an entity is categorized according to its language or linguistic type.
-
C.
programmingLanguage
Indicates that one entity is a programming language used to create, control, or interact with the other entity.
-
D.
linguisticType
Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
-
E.
languageNeutral
Indicates that the relationship or action is independent of any specific natural language, applying uniformly across different linguistic contexts.
- F. None of above. chosen
Provenance (4 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fc734c81908fbd36386d5746d6 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a64957ec81909fe2e2dbffd80ed3 |
completed | March 1, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:37 p.m.