Triple

T24258708
Position Surface form Disambiguated ID Type / Status
Subject Civil Code of 2002 E604642 entity
Predicate lawNumber P1117 FINISHED
Object Law No. 10.406
Law No. 10.406 is the Brazilian statute that instituted the 2002 Civil Code, comprehensively reforming the country’s private law framework.
 E1625956 NE FINISHED

How this triple was built (3 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: Law No. 10.406 | Statement: [Civil Code of 2002, lawNumber, Law No. 10.406]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Law No. 10.406
Triple: [Civil Code of 2002, lawNumber, Law No. 10.406]
Generated description
Law No. 10.406 is the Brazilian statute that instituted the 2002 Civil Code, comprehensively reforming the country’s private law framework.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: lawNumber
Context triple: [Civil Code of 2002, lawNumber, Law No. 10.406]
  • A. publicLawNumber chosen
    Indicates the specific public law identifier associated with a legislative act or statute.
  • B. legalCodePromulgatedBy
    Indicates that a specific legal code was formally issued or enacted by a particular authority or governing body.
  • C. numberOfLaws
    Indicates the quantitative count of laws associated with a given entity or context.
  • D. nationalLegislation
    Indicates that an entity is a law or legal measure enacted at the national level by a country’s central legislative authority.
  • E. legalAct
    Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
  • F. None of above.

Provenance (6 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_69e29544c29c8190b023606eafe5d36a completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28c64b87c81908b2966b51d01c4ad completed April 29, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd3dbac88190b0c3e7cf7d763417 completed May 22, 2026, 2:19 a.m.
NEDg Description generation batch_6a0fc17065d481908312299243f313f5 completed May 22, 2026, 2:37 a.m.
NED2 Entity disambiguation (via description) batch_6a0fc22c430c8190a73518c450420a5e completed May 22, 2026, 2:40 a.m.
PD Predicate disambiguation batch_69f1c450aa508190bc9d372a5f6ee47a completed April 29, 2026, 8:41 a.m.
Created at: April 18, 2026, 12:06 a.m.