Triple
T26444641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chambres de Réunion |
E665182
|
entity |
| Predicate | usedLegalConcept |
P61922
|
FINISHED |
| Object | reversion of fiefs to suzerain |
—
|
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: reversion of fiefs to suzerain | Statement: [Chambres de Réunion, usedLegalConcept, reversion of fiefs to suzerain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedLegalConcept Context triple: [Chambres de Réunion, usedLegalConcept, reversion of fiefs to suzerain]
-
A.
legalConcept
Indicates a relationship where something is classified or treated as a concept defined and governed by law or legal theory.
-
B.
relatedLegalConcept
chosen
Indicates that one legal concept is connected or associated with another through a relevant legal relationship or context.
-
C.
USLegalTerm
Indicates that the subject is a legal concept, status, or designation specifically defined or recognized under United States law.
-
D.
legalTermIn
Indicates that a particular legal term or concept is used, defined, or applicable within a specified legal document, jurisdiction, or context.
-
E.
legalTermUsedFrom
Indicates that a particular legal term has been in official or recognized use starting from a specified point in time.
- 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_69ee883c851881909e2ab04efbb3c5fe |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 12:01 a.m.