Triple
T13681649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TEV |
E328016
|
entity |
| Predicate | isModernEnglishVersion |
P15373
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [TEV, isModernEnglishVersion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isModernEnglishVersion Context triple: [TEV, isModernEnglishVersion, true]
-
A.
isModern
Indicates that something belongs to, reflects, or is characteristic of the contemporary or recent period, especially in style, design, or thinking.
-
B.
EnglishVersionFeature
chosen
Indicates that the related item is a feature or aspect specifically associated with the English-language version of something.
-
C.
hasModernNameLanguage
Indicates that the modern name of an entity is expressed in a particular language.
-
D.
hasESLVersion
Indicates that something has a corresponding version adapted for English as a Second Language (ESL) learners.
-
E.
hasEnglishEdition
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66e75188190a9e82fdc5eb26513 |
completed | April 12, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.