Triple
T1580066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Freedoms |
E33740
|
entity |
| Predicate | statedAsUniversal |
P9765
|
FINISHED |
| Object | applies to all nations |
—
|
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: applies to all nations | Statement: [Four Freedoms, statedAsUniversal, applies to all nations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statedAsUniversal Context triple: [Four Freedoms, statedAsUniversal, applies to all nations]
-
A.
isUniversal
chosen
Indicates that the relationship or property holds for all relevant entities or cases without exception.
-
B.
hasUniversalMembership
Indicates that an entity is a member of every group, set, or category within a specified domain.
-
C.
usedWorldwide
Indicates that something is utilized or applied across many countries or regions around the world.
-
D.
viewOnUniversals
Indicates a philosophical stance or theory an entity holds regarding the nature and existence of universals (e.g., whether they are real, conceptual, or merely linguistic).
-
E.
usedUniformlyAcrossCountry
Indicates that something is applied or practiced in the same way throughout the entire country without regional variation.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:27 p.m.