Triple

T37088353
Position Surface form Disambiguated ID Type / Status
Subject Military Police of the Mexican Army E918348 entity
Predicate enforces P760 FINISHED
Object Mexican military justice code
The Mexican military justice code is the legal framework that governs discipline, conduct, and criminal responsibility within Mexico’s armed forces.
 E2086072 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: Mexican military justice code | Statement: [Military Police of the Mexican Army, enforces, Mexican military justice code]
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: Mexican military justice code
Triple: [Military Police of the Mexican Army, enforces, Mexican military justice code]
Generated description
The Mexican military justice code is the legal framework that governs discipline, conduct, and criminal responsibility within Mexico’s armed forces.

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_69f76e9952b88190a6fe01ba01476520 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2fcdca94819082d3806d7bc6d5f0 completed May 6, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3efdcac9488190aaf5adcdc5806f70 completed June 26, 2026, 10:31 p.m.
NEDg Description generation batch_6a3efedb154481909bc7a43a00ea2608 completed June 26, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_6a3eff5a05688190bba19924a228dae9 completed June 26, 2026, 10:38 p.m.
Created at: May 3, 2026, 4:14 p.m.