Triple

T7457107
Position Surface form Disambiguated ID Type / Status
Subject Cajeme E172151 entity
Predicate borderedBy P224 FINISHED
Object Quiriego
Quiriego is a rural municipality in the Mexican state of Sonora, known for its agricultural activities and small, dispersed communities.
 E665825 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: Quiriego | Statement: [Cajeme, borderedBy, Quiriego]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quiriego
Context triple: [Cajeme, borderedBy, Quiriego]
  • A. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • B. Alagón
    Alagón is a municipality in northeastern Spain known for its historical architecture and location near the Ebro River in the autonomous community of Aragon.
  • C. Alagón
    Alagón is a river in western Spain that flows through the Extremadura region before joining the Tagus River.
  • D. Nalón
    The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
  • E. Murguia
    Murguia is a Spanish-language surname of Basque origin borne by various notable individuals in the United States and Latin America.
  • 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: Quiriego
Triple: [Cajeme, borderedBy, Quiriego]
Generated description
Quiriego is a rural municipality in the Mexican state of Sonora, known for its agricultural activities and small, dispersed communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quiriego
Target entity description: Quiriego is a rural municipality in the Mexican state of Sonora, known for its agricultural activities and small, dispersed communities.
  • A. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • B. Alagón
    Alagón is a municipality in northeastern Spain known for its historical architecture and location near the Ebro River in the autonomous community of Aragon.
  • C. Alagón
    Alagón is a river in western Spain that flows through the Extremadura region before joining the Tagus River.
  • D. Nalón
    The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
  • E. Murguia
    Murguia is a Spanish-language surname of Basque origin borne by various notable individuals in the United States and Latin America.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3b0780881909e645160dd49eb57 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827c73ce081909e31e272c8a752b6 completed March 28, 2026, 7:11 p.m.
NEDg Description generation batch_69c82bd3fe8c819098afb0d51e69383b completed March 28, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_69c82c2437d08190a1b4cf44cd51df03 completed March 28, 2026, 7:29 p.m.
Created at: March 27, 2026, 3:15 p.m.