Triple
T11337220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Procuraduría Fiscal de la Federación |
E268500
|
entity |
| Predicate | áreaDelDerecho |
P2167
|
FINISHED |
| Object | derecho público |
—
|
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: derecho público | Statement: [Procuraduría Fiscal de la Federación, áreaDelDerecho, derecho público]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: áreaDelDerecho Context triple: [Procuraduría Fiscal de la Federación, áreaDelDerecho, derecho público]
-
A.
ramaDelDerecho
Indicates a classification relationship where a legal concept or norm belongs to, or is categorized under, a specific branch of law.
-
B.
legalArea
chosen
Indicates the specific field or branch of law that a legal matter, case, or document pertains to.
-
C.
notableAreaOfLaw
Indicates that a person or entity is particularly recognized or distinguished in a specific field or area of law.
-
D.
legalDoctrine
Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
-
E.
juridicalCategory
Indicates the legal classification or status under which an entity or relationship is formally recognized in a juridical 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:33 p.m.