Triple

T1310642
Position Surface form Disambiguated ID Type / Status
Subject Kern County E27981 entity
Predicate containsCity P294 FINISHED
Object Arvin
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
 E152144 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: Arvin | Statement: [Kern County, containsCity, Arvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arvin
Context triple: [Kern County, containsCity, Arvin]
  • A. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • B. Mervin
    Mervin is a masculine given name of English origin, often used as a variant of Marvin or Mervyn.
  • C. Tabio
    Tabio is a small Colombian town in the department of Cundinamarca, known for its cool climate, agricultural traditions, and proximity to Bogotá.
  • D. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • E. Avi
    Avi is a common Hebrew given name, often used as a diminutive of names like Avraham or Aviel.
  • 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: Arvin
Triple: [Kern County, containsCity, Arvin]
Generated description
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arvin
Target entity description: Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • A. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • B. Mervin
    Mervin is a masculine given name of English origin, often used as a variant of Marvin or Mervyn.
  • C. Tabio
    Tabio is a small Colombian town in the department of Cundinamarca, known for its cool climate, agricultural traditions, and proximity to Bogotá.
  • D. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • E. Avi
    Avi is a common Hebrew given name, often used as a diminutive of names like Avraham or Aviel.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c15490a88190872c3d2698a8f9c9 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf27639081908bd91bb904a58d32 completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbf94e6e881908d15b2ef99f17668 completed March 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69acc0b212608190bbb2310402d86ed9 completed March 8, 2026, 12:20 a.m.
Created at: March 1, 2026, 7:51 p.m.