Triple
T3802455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UDC Consortium |
E91719
|
entity |
| Predicate | classificationTypeManaged |
P51844
|
FINISHED |
| Object | faceted classification |
—
|
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: faceted classification | Statement: [UDC Consortium, classificationTypeManaged, faceted classification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationTypeManaged Context triple: [UDC Consortium, classificationTypeManaged, faceted classification]
-
A.
classificationSystemName
Indicates the name or label assigned to a particular classification system used to categorize or organize entities.
-
B.
typeOfEquipmentManaged
Indicates the specific kind or category of equipment that an entity is responsible for managing.
-
C.
classificationSystem
Indicates a relationship where an entity is organized or categorized according to a particular classification scheme or taxonomy.
-
D.
areClassifiedBy
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
-
E.
governingClassification
Indicates the classification system or category framework that determines how an entity is organized, labeled, or regulated.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee8d9b328819080158be59e5bcc97 |
completed | March 9, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:15 p.m.