Triple
T25766703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arts et Lettres |
E648901
|
entity |
| Predicate | parentOrderSystem |
P96586
|
FINISHED |
| Object | French national orders system |
—
|
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: French national orders system | Statement: [Arts et Lettres, parentOrderSystem, French national orders system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentOrderSystem Context triple: [Arts et Lettres, parentOrderSystem, French national orders system]
-
A.
orderSystem
chosen
Indicates a relationship where one entity organizes, arranges, or structures another entity or set of entities into a coherent or regulated system.
-
B.
APGSystemOrder
Indicates the sequence or hierarchy in which systems are arranged or organized within the APG framework.
-
C.
ordersBy
Indicates that one entity arranges, sorts, or sequences another entity according to a specified criterion or set of criteria.
-
D.
orderFoundedBy
Indicates that a particular order or organization was established or created by a specific person or entity.
-
E.
entersOrderThrough
Indicates that one party places or submits an order by means of, or via the involvement of, another party or system.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 22, 2026, 5:11 a.m.