Triple

T33929081
Position Surface form Disambiguated ID Type / Status
Subject Secretary of Government of Mexico E869834 entity
Predicate hasPart P35 FINISHED
Object Legal and Human Rights Unit
The Legal and Human Rights Unit is a governmental body in Mexico responsible for overseeing legal affairs and promoting the protection and advancement of human rights within the federal administration.
E2074058 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: Legal and Human Rights Unit | Statement: [Secretary of Government of Mexico, hasPart, Legal and Human Rights Unit]
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: Legal and Human Rights Unit
Triple: [Secretary of Government of Mexico, hasPart, Legal and Human Rights Unit]
Generated description
The Legal and Human Rights Unit is a governmental body in Mexico responsible for overseeing legal affairs and promoting the protection and advancement of human rights within the federal administration.

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_69f3499a59788190bff762a891471b31 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f701fa7a148190bb05abbb9982c72b completed May 3, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3682586a54819087bfbd58b3c1df11 completed June 20, 2026, 12:06 p.m.
NEDg Description generation batch_6a3682dfc590819087dfb9300523ad9d completed June 20, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_6a36848c2cd88190b28d40551392741b completed June 20, 2026, 12:16 p.m.
Created at: May 1, 2026, 1:49 a.m.