Triple

T9764880
Position Surface form Disambiguated ID Type / Status
Subject Ringgold County E236759 entity
Predicate hasUnincorporatedCommunity P6345 FINISHED
Object Arispe
Arispe is a small unincorporated rural community located in Ringgold County, Iowa.
E821469 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: Arispe | Statement: [Ringgold County, hasUnincorporatedCommunity, Arispe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arispe
Context triple: [Ringgold County, hasUnincorporatedCommunity, Arispe]
  • A. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • B. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • C. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • D. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • E. Moura
    Moura is a Portuguese-language surname commonly found in Brazil and other Lusophone countries, associated with various notable figures in arts, sports, and public life.
  • 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: Arispe
Triple: [Ringgold County, hasUnincorporatedCommunity, Arispe]
Generated description
Arispe is a small unincorporated rural community located in Ringgold County, Iowa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arispe
Target entity description: Arispe is a small unincorporated rural community located in Ringgold County, Iowa.
  • A. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • B. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • C. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • D. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • E. Moura
    Moura is a Portuguese-language surname commonly found in Brazil and other Lusophone countries, associated with various notable figures in arts, sports, and public life.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda09ed54c8190a5879e14184cddf4 completed April 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c412f0a48190b59d030b703a0e45 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4eb7a0481908bbd72f6d28d4746 completed April 5, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5c0e6e88190bbf6eb379e6d1aa3 completed April 5, 2026, 2:15 a.m.
Created at: March 30, 2026, 8:25 p.m.