Triple
T17486972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peircean semiotics |
E425800
|
entity |
| Predicate | appliesCategory |
P70092
|
FINISHED |
| Object | Firstness as category of possibility and quality |
—
|
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: Firstness as category of possibility and quality | Statement: [Peircean semiotics, appliesCategory, Firstness as category of possibility and quality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesCategory Context triple: [Peircean semiotics, appliesCategory, Firstness as category of possibility and quality]
-
A.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
B.
apparentCategory
Indicates the category or type that something seems to belong to based on its observable characteristics, regardless of its true or underlying classification.
-
C.
sampleCategory
Indicates that an item or instance belongs to, or is classified under, a particular sample category.
-
D.
performsCategory
Indicates that an entity carries out or executes an action, task, or function that belongs to a specified category.
-
E.
containsCategory
chosen
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
- 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.