Triple

T30425959
Position Surface form Disambiguated ID Type / Status
Subject Marco Antonio Solís E774030 entity
Predicate birthPlace P1 FINISHED
Object Ario de Rosales, Michoacán, Mexico
Ario de Rosales, Michoacán, Mexico is a small historic town in the Mexican state of Michoacán, known for its colonial architecture and cultural traditions.
E1914282 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: Ario de Rosales, Michoacán, Mexico | Statement: [Marco Antonio Solís, birthPlace, Ario de Rosales, Michoacán, Mexico]
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: Ario de Rosales, Michoacán, Mexico
Triple: [Marco Antonio Solís, birthPlace, Ario de Rosales, Michoacán, Mexico]
Generated description
Ario de Rosales, Michoacán, Mexico is a small historic town in the Mexican state of Michoacán, known for its colonial architecture and cultural traditions.

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_69f22491ba248190b9a4776ca8e42d02 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f686688b148190b0e083092cb58545 completed May 2, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2798b55a7481908118d7742d583cb4 completed June 9, 2026, 4:38 a.m.
NEDg Description generation batch_6a2799dccce08190960fd50228b7e93e completed June 9, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_6a279a6b36b08190acc11ff8b0412ae9 completed June 9, 2026, 4:45 a.m.
Created at: April 29, 2026, 8:06 p.m.