Triple
T3006632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Heritage Area |
E81917
|
entity |
| Predicate | managementModel |
P2995
|
FINISHED |
| Object | public-private partnership |
—
|
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: public-private partnership | Statement: [National Heritage Area, managementModel, public-private partnership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managementModel Context triple: [National Heritage Area, managementModel, public-private partnership]
-
A.
managementApproach
Indicates the strategy, methods, or style used to direct, organize, and oversee the activities or resources of an entity or process.
-
B.
governanceModel
chosen
Indicates the type or structure of authority, decision-making, and control that defines how an entity is directed and overseen.
-
C.
operatingModel
Indicates how an organization structures and manages its processes, resources, and governance to deliver its products or services.
-
D.
managedIn
Indicates that one entity is administered, operated, or overseen within the scope, control, or jurisdiction of another entity.
-
E.
managementIncludes
Indicates that a management entity encompasses, oversees, or has responsibility for the included entity or entities.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a48f0888190bdec150dac623851 |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad96180eb08190a524c5f458d41382 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.