Triple
T7789711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Territoire de Belfort |
E187344
|
entity |
| Predicate | regionReform |
P4888
|
FINISHED |
| Object | Affected by 2016 French territorial reform |
—
|
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: Affected by 2016 French territorial reform | Statement: [Territoire de Belfort, regionReform, Affected by 2016 French territorial reform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionReform Context triple: [Territoire de Belfort, regionReform, Affected by 2016 French territorial reform]
-
A.
municipalityReform
Indicates a formal reorganization or restructuring of a municipality’s administrative boundaries, governance, or status.
-
B.
reform
chosen
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
C.
regionDivision
Indicates a hierarchical or organizational subdivision relationship where one region is partitioned into smaller constituent regions.
-
D.
capitalDivision
Indicates that one administrative division serves as the capital of another administrative division or political entity.
-
E.
reformsBy
Indicates that one entity initiates, implements, or is responsible for changes or improvements (reforms) affecting 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7ea13f08190a60c5f1863bce816 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
Created at: March 30, 2026, 4:25 p.m.