Triple

T17058368
Position Surface form Disambiguated ID Type / Status
Subject Ingersoll, Ontario E413887 entity
Predicate locatedInCensusDivision P5151 FINISHED
Object Oxford
Oxford is a regional county-level jurisdiction in southwestern Ontario, Canada, known for encompassing several municipalities including the town of Ingersoll.
 E264104 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 | Statement: [Ingersoll, Ontario, locatedInCensusDivision, Oxford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oxford
Context triple: [Ingersoll, Ontario, locatedInCensusDivision, Oxford]
  • A. Oxford
    Oxford is a historic English city renowned for its prestigious university, distinctive architecture, and long-standing academic and cultural influence.
  • B. Oxford
    Oxford is a small city in northeastern Alabama known for its location in the Anniston–Oxford metropolitan area and proximity to the Talladega National Forest.
  • C. Oxford
    Oxford is a small town in New Haven County, Connecticut, known for its suburban-rural character and growing residential communities.
  • D. Oxford
    Oxford is a small borough in southeastern Pennsylvania known for its historic downtown and proximity to several colleges and rural communities.
  • E. Oxford
    Oxford is a small rural town in New Zealand’s Canterbury region, known for its farming community and proximity to the Southern Alps.
  • 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
Triple: [Ingersoll, Ontario, locatedInCensusDivision, Oxford]
Generated description
Oxford is a regional county-level jurisdiction in southwestern Ontario, Canada, known for encompassing several municipalities including the town of Ingersoll.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oxford
Target entity description: Oxford is a regional county-level jurisdiction in southwestern Ontario, Canada, known for encompassing several municipalities including the town of Ingersoll.
  • A. Oxford chosen
    Oxford is a federal electoral district in Ontario, Canada, represented in the House of Commons.
  • B. Oxford
    Oxford is a small town in New Haven County, Connecticut, known for its suburban-rural character and growing residential communities.
  • C. Oxford
    Oxford is a small rural town in New Zealand’s Canterbury region, known for its farming community and proximity to the Southern Alps.
  • D. Oxford
    Oxford is a small borough in southeastern Pennsylvania known for its historic downtown and proximity to several colleges and rural communities.
  • E. Oxford
    Oxford is a small city in northeastern Alabama known for its location in the Anniston–Oxford metropolitan area and proximity to the Talladega National Forest.
  • F. None of above.

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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7b553c81908ec70ba0d0988710 completed April 18, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01413eba788190982351a97286e81f completed May 11, 2026, 2:38 a.m.
NEDg Description generation batch_6a01427966b48190ab7cbdaa139f6fbc completed May 11, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0142ff1c84819093604fe074f37660 completed May 11, 2026, 2:46 a.m.
Created at: April 10, 2026, 5:34 a.m.