Triple
T12121945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Constitution |
E288716
|
entity |
| Predicate | highestLegalNormIn |
P55693
|
FINISHED |
| Object | French legal 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 legal system | Statement: [French Constitution, highestLegalNormIn, French legal system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestLegalNormIn Context triple: [French Constitution, highestLegalNormIn, French legal system]
-
A.
highestLawIn
chosen
Indicates that one law holds the supreme or ultimate legal authority within a specified jurisdiction or legal system.
-
B.
highestCourtOf
Indicates that one entity is the supreme judicial authority or top-level court within the jurisdiction or legal system of another entity.
-
C.
highestOrgan
Indicates that one entity is the organ with the highest rank, level, or position within a specified system or hierarchy relative to another entity.
-
D.
legalDimension
Indicates a relationship where something is characterized, evaluated, or framed in terms of its legal aspects, status, or implications.
-
E.
legalAuthorityIn
Indicates that an entity holds official legal power, jurisdiction, or governing authority within a specified area or domain.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.