Triple
T24777536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gup |
E619902
|
entity |
| Predicate | hasLanguageTheme |
P159036
|
FINISHED |
| Object | freedom of speech |
—
|
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: freedom of speech | Statement: [Gup, hasLanguageTheme, freedom of speech]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageTheme Context triple: [Gup, hasLanguageTheme, freedom of speech]
-
A.
languageOfTheme
Indicates that a particular language is used to express, describe, or label a given theme or subject.
-
B.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
C.
usesThemeFrom
Indicates that one work incorporates, references, or is based on the thematic material of another work.
-
D.
hasPersonalThemes
Indicates that something (such as a work, message, or expression) involves themes that are personal, intimate, or directly related to an individual’s own experiences or inner life.
-
E.
usesThemeBy
Indicates that one entity incorporates, applies, or is based on a theme that was created, defined, or provided by another entity.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 18, 2026, 4:38 a.m.