Triple

T3548168
Position Surface form Disambiguated ID Type / Status
Subject Western Female Institute E75045 entity
Predicate locatedIn P40 FINISHED
Object Oxford, Ohio
Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
 E446523 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: Oxford, Ohio | Statement: [Western Female Institute, locatedIn, Oxford, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oxford, Ohio
Context triple: [Western Female Institute, locatedIn, Oxford, Ohio]
  • A. Dublin, Ohio
    Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
  • B. 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.
  • C. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • D. Cambridge, Ohio
    Cambridge, Ohio is a small city in eastern Ohio known as a regional crossroads and historic community in Guernsey County.
  • E. Springfield, Ohio
    Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark 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: Oxford, Ohio
Triple: [Western Female Institute, locatedIn, Oxford, Ohio]
Generated description
Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oxford, Ohio
Target entity description: Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
  • A. Dublin, Ohio
    Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
  • B. 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.
  • C. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • D. Cambridge, Ohio
    Cambridge, Ohio is a small city in eastern Ohio known as a regional crossroads and historic community in Guernsey County.
  • E. Springfield, Ohio
    Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd0eb6081908f1380db4cfade87 completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6786a558819098973b8f10b7e7cb completed March 20, 2026, 3:28 p.m.
NEDg Description generation batch_69bd6b5a3a488190ba0ff3bfd6277f24 completed March 20, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69bd6c641b488190b8c6860898971aa1 completed March 20, 2026, 3:48 p.m.
Created at: March 8, 2026, 3:20 p.m.