Triple
T28090097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FFyB |
E709930
|
entity |
| Predicate | abbreviationLanguageContext |
P98015
|
FINISHED |
| Object | Spanish academic context |
—
|
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: Spanish academic context | Statement: [FFyB, abbreviationLanguageContext, Spanish academic context]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbreviationLanguageContext Context triple: [FFyB, abbreviationLanguageContext, Spanish academic context]
-
A.
abbreviationContext
Indicates that one term is used as an abbreviation specifically within the contextual scope defined by another term or resource.
-
B.
acronymContext
Indicates that one term is used as an acronym specifically within the contextual scope defined by another entity (such as a document, domain, or usage setting).
-
C.
commonAbbreviationLanguage
chosen
Indicates that one language is commonly abbreviated or represented by another language or code in written or symbolic form.
-
D.
abbreviationOrShortForm
Indicates that one term is an abbreviation or shortened form of another term.
-
E.
abbreviationUsedFor
Indicates that a particular shortened form or acronym is used to represent or stand in for a longer term, name, or expression.
- 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 8:57 p.m.