Triple

T16904234
Position Surface form Disambiguated ID Type / Status
Subject Torrance County E424516 entity
Predicate containsSettlement P847 FINISHED
Object Yrisarri
Yrisarri is a small unincorporated community located in Torrance County, New Mexico.
 E1241603 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: Yrisarri | Statement: [Torrance County, containsSettlement, Yrisarri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yrisarri
Context triple: [Torrance County, containsSettlement, Yrisarri]
  • A. Arriaga
    Arriaga is a Spanish-language surname most notably associated with Mexican screenwriter and author Guillermo Arriaga.
  • B. Aranguren
    Aranguren is a municipality in the autonomous community of Navarre in northern Spain, situated near the city of Pamplona.
  • C. Echevarrieta
    Echevarrieta is a Spanish surname most notably associated with Horacio Echevarrieta, an influential early 20th-century industrialist and businessman.
  • D. Arozarena
    Arozarena is the surname of Randy Arozarena, a Cuban-Mexican professional baseball outfielder known for his standout postseason performances in Major League Baseball.
  • E. Norzagaray
    Norzagaray is a landlocked municipality in the province of Bulacan in the Philippines, known for its quarrying industry and natural attractions such as dams, rivers, and limestone formations.
  • 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: Yrisarri
Triple: [Torrance County, containsSettlement, Yrisarri]
Generated description
Yrisarri is a small unincorporated community located in Torrance County, New Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yrisarri
Target entity description: Yrisarri is a small unincorporated community located in Torrance County, New Mexico.
  • A. Arriaga
    Arriaga is a Spanish-language surname most notably associated with Mexican screenwriter and author Guillermo Arriaga.
  • B. Aranguren
    Aranguren is a municipality in the autonomous community of Navarre in northern Spain, situated near the city of Pamplona.
  • C. Echevarrieta
    Echevarrieta is a Spanish surname most notably associated with Horacio Echevarrieta, an influential early 20th-century industrialist and businessman.
  • D. Arozarena
    Arozarena is the surname of Randy Arozarena, a Cuban-Mexican professional baseball outfielder known for his standout postseason performances in Major League Baseball.
  • E. Norzagaray
    Norzagaray is a landlocked municipality in the province of Bulacan in the Philippines, known for its quarrying industry and natural attractions such as dams, rivers, and limestone formations.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8de3070819085bfe9696bc887ea completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfcedb58819087c31200c01f40b7 completed May 10, 2026, 6:34 p.m.
NEDg Description generation batch_6a00d0c0ecc48190b88dcb170926bf16 completed May 10, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00d194e9e08190bf0c4c0fe3921978 completed May 10, 2026, 6:42 p.m.
Created at: April 10, 2026, 5:30 a.m.