Triple
T34415969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negation |
E883403
|
entity |
| Predicate | expressedInEnglishBy |
P8513
|
FINISHED |
| Object | not |
—
|
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: not | Statement: [Negation, expressedInEnglishBy, not]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expressedInEnglishBy Context triple: [Negation, expressedInEnglishBy, not]
-
A.
languageOfExpression
chosen
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
-
B.
alsoExpressedIn
Indicates that something which is expressed in one context, medium, or entity is likewise expressed in another.
-
C.
speaksIn
Indicates that an entity uses or expresses itself in a particular language or medium when speaking.
-
D.
oftenExpressedAs
Indicates that one thing is frequently represented, stated, or manifested in the form of another.
-
E.
isSpokenAs
Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
- 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71947ad88819082ab9d85dd493b01 |
completed | May 3, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.