Triple
T34045401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribunales Colegiados de Circuito |
E873072
|
entity |
| Predicate | jurisprudenciaObligatoriaPara |
P178173
|
FINISHED |
| Object |
Juzgados de Distrito del mismo circuito
Los Juzgados de Distrito del mismo circuito son órganos jurisdiccionales federales de primera instancia en México encargados de resolver, entre otros asuntos, juicios de amparo y controversias federales, sujetos a la jurisprudencia obligatoria de los Tribunales Colegiados de Circuito correspondientes.
|
E2078804
|
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: Juzgados de Distrito del mismo circuito | Statement: [Tribunales Colegiados de Circuito, jurisprudenciaObligatoriaPara, Juzgados de Distrito del mismo circuito]
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: Juzgados de Distrito del mismo circuito Triple: [Tribunales Colegiados de Circuito, jurisprudenciaObligatoriaPara, Juzgados de Distrito del mismo circuito]
Generated description
Los Juzgados de Distrito del mismo circuito son órganos jurisdiccionales federales de primera instancia en México encargados de resolver, entre otros asuntos, juicios de amparo y controversias federales, sujetos a la jurisprudencia obligatoria de los Tribunales Colegiados de Circuito correspondientes.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jurisprudenciaObligatoriaPara Context triple: [Tribunales Colegiados de Circuito, jurisprudenciaObligatoriaPara, Juzgados de Distrito del mismo circuito]
-
A.
jurisprudenceDiscussedIn
Indicates that a topic, issue, or principle of jurisprudence is examined, analyzed, or debated within a particular document, discussion, or source.
-
B.
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.
-
C.
subjectOfLaw
Indicates that a law, legal document, or legal provision is about, concerns, or applies to the referenced subject.
-
D.
ramaDelDerecho
Indicates a classification relationship where a legal concept or norm belongs to, or is categorized under, a specific branch of law.
-
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. chosen
Provenance (7 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_69f349a3363081909cea4c9a848cefe2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36a03cd6fc8190ad4450b7c7519afd |
completed | June 20, 2026, 2:14 p.m. |
| NEDg | Description generation | batch_6a36a0df14288190a9b82728daac1f69 |
completed | June 20, 2026, 2:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36a16801c88190923bde7a7fd6a59d |
completed | June 20, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:51 a.m.