Triple
T26473518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bartlett School of Architecture |
E665964
|
entity |
| Predicate | organizationSector |
P100108
|
FINISHED |
| Object | higher education |
—
|
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: higher education | Statement: [The Bartlett School of Architecture, organizationSector, higher education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationSector Context triple: [The Bartlett School of Architecture, organizationSector, higher education]
-
A.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
B.
sectoralOrganizations
Indicates that there is an organizational relationship specifically structured around a particular sector or industry.
-
C.
institutionCategory
Indicates the classification or type of institution to which an entity belongs (e.g., university, hospital, bank).
-
D.
sectorOfOperation
chosen
Indicates the industry, domain, or field within which an entity conducts its primary activities or operations.
-
E.
unionSector
Indicates that a labor union is associated with, represents, or operates within a particular economic or industrial sector.
- 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 12:21 a.m.