Triple
T33429105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlb |
E856074
|
entity |
| Predicate | abbreviationOfInstitutionType |
P178651
|
FINISHED |
| Object | prestigious independent boarding school |
—
|
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: prestigious independent boarding school | Statement: [Marlb, abbreviationOfInstitutionType, prestigious independent boarding school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbreviationOfInstitutionType Context triple: [Marlb, abbreviationOfInstitutionType, prestigious independent boarding school]
-
A.
universityAbbreviation
Indicates that one term is the standard shortened or abbreviated form of the name of a university.
-
B.
acronymParentInstitution
Indicates that one institution is the parent or full-name institution for which the other serves as an acronym.
-
C.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
D.
relatedInstitutionAbbreviation
Indicates that an institution is associated with another institution through a specific abbreviated form of its name or identifier.
-
E.
institutionAbbreviation
Indicates that one term is an official abbreviation or shortened form of the name of an institution.
- F. None of above. chosen
Provenance (4 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f713bfdc148190a249a7874320bab8 |
completed | May 3, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f7135fa2988190a20a94cfe616d754 |
completed | May 3, 2026, 9:20 a.m. |
Created at: May 1, 2026, 1:36 a.m.