Triple
T24230140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French monetary reform of 1795 |
E601707
|
entity |
| Predicate | introducedSubdivision |
P155280
|
FINISHED |
| Object | 1 franc = 10 décimes |
—
|
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: 1 franc = 10 décimes | Statement: [French monetary reform of 1795, introducedSubdivision, 1 franc = 10 décimes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedSubdivision Context triple: [French monetary reform of 1795, introducedSubdivision, 1 franc = 10 décimes]
-
A.
hasSubdivision
Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
-
B.
isSubdivisionUsedFor
Indicates that a particular subdivision (such as a region, section, or part of something) is utilized for a specified purpose or function.
-
C.
subdividedBy
Indicates that something is divided into smaller parts or sections by another entity or criterion.
-
D.
formerSubdivisionOf
Indicates that an entity once functioned as an administrative or territorial part of another entity but no longer holds that status.
-
E.
primarySubdivisionOf
Indicates that one administrative or territorial unit is the main first-level subdivision within a larger political or geographic entity.
- F. None of above. chosen
Provenance (4 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_69e29538aafc8190a2386fdebbd1393b |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287e3187c8190ab054ad983ed0335 |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:01 a.m.