Triple

T15480015
Position Surface form Disambiguated ID Type / Status
Subject Athens County, Ohio E376890 entity
Predicate contains P35 FINISHED
Object Albany, Ohio
Albany, Ohio is a small village in southeastern Ohio known for its rural character and proximity to the city of Athens and Ohio University.
 E1393557 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: Albany, Ohio | Statement: [Athens County, Ohio, contains, Albany, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Albany, Ohio
Context triple: [Athens County, Ohio, contains, Albany, Ohio]
  • A. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • B. Wilmington, Ohio
    Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
  • C. Montgomery, Ohio
    Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
  • D. Utica, Ohio
    Utica, Ohio is a small village in central Ohio known for its rural character and annual ice cream festival.
  • E. Hartford, Ohio
    Hartford, Ohio is a small rural village located in central Ohio within Licking County.
  • 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: Albany, Ohio
Triple: [Athens County, Ohio, contains, Albany, Ohio]
Generated description
Albany, Ohio is a small village in southeastern Ohio known for its rural character and proximity to the city of Athens and Ohio University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Albany, Ohio
Target entity description: Albany, Ohio is a small village in southeastern Ohio known for its rural character and proximity to the city of Athens and Ohio University.
  • A. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • B. Wilmington, Ohio
    Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
  • C. Montgomery, Ohio
    Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
  • D. Utica, Ohio
    Utica, Ohio is a small village in central Ohio known for its rural character and annual ice cream festival.
  • E. Hartford, Ohio
    Hartford, Ohio is a small rural village located in central Ohio within Licking County.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8a77a081909f12f13660452f4a completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd4725608190b1af4b9d64e362a8 completed May 16, 2026, 12:41 a.m.
NEDg Description generation batch_6a07bdd25abc81908dac2444f7a9625e completed May 16, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a07be58e4088190a01c67b21b5ca34d completed May 16, 2026, 12:46 a.m.
Created at: April 10, 2026, 3:34 a.m.