Triple
T12937285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Guadeloupe |
E309544
|
entity |
| Predicate | INSEEDepartmentCode |
P9698
|
FINISHED |
| Object | 971 |
—
|
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: 971 | Statement: [Department of Guadeloupe, INSEEDepartmentCode, 971]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: INSEEDepartmentCode Context triple: [Department of Guadeloupe, INSEEDepartmentCode, 971]
-
A.
basedInDepartment
Indicates that an entity operates or has its primary affiliation within a specific department.
-
B.
departmentNumber
chosen
Indicates the specific numeric code assigned to identify a particular department within an organization or system.
-
C.
departmentType
Indicates the classification or category of a department, specifying what kind of department it is.
-
D.
regionOfInstitution
Indicates that a specified region is the geographic area in which an institution is located or operates.
-
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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.