Triple
T30845735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Communes of Yvelines |
E785626
|
entity |
| Predicate | useLegalSystem |
P131132
|
FINISHED |
| Object | French law |
—
|
NE NERFINISHED |
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 law | Statement: [Communes of Yvelines, useLegalSystem, French law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: useLegalSystem Context triple: [Communes of Yvelines, useLegalSystem, French law]
-
A.
usedLegalSystemOf
chosen
Indicates that one entity applied, followed, or operated under the legal system or body of laws belonging to another entity.
-
B.
legalSystem
Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
-
C.
usesLawTo
Indicates that one entity applies or relies on a specific law as a means or tool to affect, regulate, or influence another entity or situation.
-
D.
relatedLegalSystem
Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
-
E.
legalSystemImposed
Indicates that one authority or group has established and enforced a particular legal system upon another population or territory.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69177998c8190a7d6dabd7b67b53b |
completed | May 3, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:46 p.m.