Triple

T15113464
Position Surface form Disambiguated ID Type / Status
Subject University of Mississippi E360972 entity
Predicate city P40 FINISHED
Object Oxford
Oxford is a small Mississippi city known for its vibrant literary culture, historic town square, and role as the home of author William Faulkner.
 E361649 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: [University of Mississippi, city, Oxford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oxford
Context triple: [University of Mississippi, city, 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: [University of Mississippi, city, Oxford]
Generated description
Oxford is a small Mississippi city known for its vibrant literary culture, historic town square, and role as the home of author William Faulkner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oxford
Target entity description: Oxford is a small Mississippi city known for its vibrant literary culture, historic town square, and role as the home of author William Faulkner.
  • A. Oxford chosen
    Oxford is a small Mississippi city best known as the home of the University of Mississippi and for its rich literary and cultural heritage.
  • B. Oxford
    Oxford is a historic English city renowned for its prestigious university, distinctive architecture, and long-standing academic and cultural influence.
  • C. 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.
  • 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 town in New Haven County, Connecticut, known for its suburban-rural character and growing residential communities.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058d786c8190937c6819255c01bd completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfdffb6081909012cf0707f5c9f5 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec0c97f4c819084ba9eb2d8f69ceb completed May 9, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_69fec13ccea48190aeb155af012478b8 completed May 9, 2026, 5:08 a.m.
Created at: April 10, 2026, 3:05 a.m.