Triple

T2772894
Position Surface form Disambiguated ID Type / Status
Subject Córdoba Province E61498 entity
Predicate contains P35 FINISHED
Object Jesús María
Jesús María is a small city in central Argentina known for its traditional folklore and horse-taming festival.
E298199 NE FINISHED

How this triple was built (4 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: Jesús María | Statement: [Córdoba Province, contains, Jesús María]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesús María
Context triple: [Córdoba Province, contains, Jesús María]
  • A. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • B. José
    José is the given first name of former Major League Baseball player and coach Joey Cora.
  • C. Juan Diego
    Juan Diego is the 16th-century indigenous Mexican Catholic saint who reported the apparitions of Our Lady of Guadalupe, a pivotal event in Mexican religious history.
  • D. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • E. Juan
    Juan is a common Spanish given name, equivalent to "John" in English and widely used across the Spanish-speaking world.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Jesús María
Triple: [Córdoba Province, contains, Jesús María]
Generated description
Jesús María is a small city in central Argentina known for its traditional folklore and horse-taming festival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jesús María
Target entity description: Jesús María is a small city in central Argentina known for its traditional folklore and horse-taming festival.
  • A. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • B. José
    José is the given first name of former Major League Baseball player and coach Joey Cora.
  • C. Juan Diego
    Juan Diego is the 16th-century indigenous Mexican Catholic saint who reported the apparitions of Our Lady of Guadalupe, a pivotal event in Mexican religious history.
  • D. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • E. Juan
    Juan is a common Spanish given name, equivalent to "John" in English and widely used across the Spanish-speaking world.
  • F. None of above. chosen

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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6b9cc48190bd9f7d8d33fe1ec1 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc0553588819098d478b4aaa18478 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc1c74ecc8190ba8b9926ff28f24e completed March 10, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69afc2d5aecc81909ce90a7e891568c9 completed March 10, 2026, 7:05 a.m.
Created at: March 6, 2026, 9:57 p.m.