Triple
T29276726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bureau of Fire Protection |
E742262
|
entity |
| Predicate | supervisingDepartment |
P148576
|
FINISHED |
| Object | Department of the Interior and Local Government |
—
|
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: Department of the Interior and Local Government | Statement: [Bureau of Fire Protection, supervisingDepartment, Department of the Interior and Local Government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supervisingDepartment Context triple: [Bureau of Fire Protection, supervisingDepartment, Department of the Interior and Local Government]
-
A.
supervisesBy
chosen
Indicates that one entity is overseen, directed, or managed under the authority of another entity.
-
B.
laterDepartment
Indicates that one department occurs or is considered after another in a defined ordering or sequence.
-
C.
basedInDepartment
Indicates that an entity operates or has its primary affiliation within a specific department.
-
D.
motherDepartment
Indicates that one department is the parent or higher-level organizational unit of another department.
-
E.
propDepartment
Indicates that one entity functions as a department or organizational subdivision associated with another entity.
- 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_69f0912124d48190a046642b69407f4c |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 28, 2026, 12:51 p.m.