Triple
T15181609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isola 2000 |
E362758
|
entity |
| Predicate | administrativeDepartmentCode |
P9698
|
FINISHED |
| Object | 06 |
—
|
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: 06 | Statement: [Isola 2000, administrativeDepartmentCode, 06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administrativeDepartmentCode Context triple: [Isola 2000, administrativeDepartmentCode, 06]
-
A.
departmentNumber
chosen
Indicates the specific numeric code assigned to identify a particular department within an organization or system.
-
B.
basedInDepartment
Indicates that an entity operates or has its primary affiliation within a specific department.
-
C.
worksInDepartment
Indicates that an entity is employed in and performs their job duties within a particular department.
-
D.
departmentType
Indicates the classification or category of a department, specifying what kind of department it is.
-
E.
department
Indicates that one entity functions as an organizational unit or division within another, typically larger, 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006663ad48190986b680001be0e9b |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:09 a.m.