Triple
T34681971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S.D.B. |
E890644
|
entity |
| Predicate | equivalentEnglishAbbreviationOf |
P144194
|
FINISHED |
| Object | Salesians of Don Bosco |
—
|
NE NERFINISHED |
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: Salesians of Don Bosco | Statement: [S.D.B., equivalentEnglishAbbreviationOf, Salesians of Don Bosco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentEnglishAbbreviationOf Context triple: [S.D.B., equivalentEnglishAbbreviationOf, Salesians of Don Bosco]
-
A.
commonAbbreviationLanguage
Indicates that one language is commonly abbreviated or represented by another language or code in written or symbolic form.
-
B.
alternativeAbbreviation
chosen
Indicates that one term serves as an alternative shortened form or acronym for another term.
-
C.
equivalentEnglishForm
Indicates that two expressions share the same meaning in English, serving as equivalent linguistic forms.
-
D.
abbreviationOfUnit
Indicates that one term is an abbreviated form representing a specific unit of measurement.
-
E.
abreviaturaFrecuente
Indicates that one term is a common or frequently used abbreviation of another term.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f73397e5488190a9cdce98a0ac0383 |
completed | May 3, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69f732f3ad248190b4bcbf589d000f0d |
completed | May 3, 2026, 11:35 a.m. |
Created at: May 1, 2026, 2:05 a.m.