Triple

T26770090
Position Surface form Disambiguated ID Type / Status
Subject Tribunal Supremo de Justicia E675053 entity
Predicate distinctFrom P1612 FINISHED
Object Consejo de la Magistratura
El Consejo de la Magistratura es un órgano del sistema judicial boliviano encargado de la administración, disciplina y control de la carrera de jueces y funcionarios judiciales.
E1739802 NE 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: Consejo de la Magistratura | Statement: [Tribunal Supremo de Justicia, distinctFrom, Consejo de la Magistratura]
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: Consejo de la Magistratura
Triple: [Tribunal Supremo de Justicia, distinctFrom, Consejo de la Magistratura]
Generated description
El Consejo de la Magistratura es un órgano del sistema judicial boliviano encargado de la administración, disciplina y control de la carrera de jueces y funcionarios judiciales.

Provenance (5 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_69eecda85298819097ee1c38a3d772e7 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6192c45fc819094e7dd70fd9cc333 completed May 2, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a120952e43c8190a888dedd18d350c3 completed May 23, 2026, 8:08 p.m.
NEDg Description generation batch_6a1209bac5dc8190a3a0bcd25dc6f9c4 completed May 23, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a120a7acb6081909b538b1a351a92bd completed May 23, 2026, 8:13 p.m.
Created at: April 27, 2026, 4:01 a.m.