Triple

T16379539
Position Surface form Disambiguated ID Type / Status
Subject The Spanish Princess E397762 entity
Predicate filmingLocation P40 FINISHED
Object Bristol
Bristol is a historic port city in southwest England known for its maritime heritage, vibrant arts scene, and distinctive Georgian and Victorian architecture.
 E16444 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: Bristol | Statement: [The Spanish Princess, filmingLocation, Bristol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bristol
Context triple: [The Spanish Princess, filmingLocation, Bristol]
  • A. Bristol
    Bristol is a city in central Connecticut known for being the home of ESPN and for its historic clock-making industry.
  • B. Bristol
    Bristol is a city in central Connecticut known historically for its clock-making industry and as the longtime home of ESPN’s headquarters.
  • C. Bristol
    Bristol is a small town located in Dane County in the U.S. state of Wisconsin.
  • D. Bristol
    Bristol is a historic coastal town in Rhode Island known for its maritime heritage and one of the oldest continuous Fourth of July celebrations in the United States.
  • E. Bristol
    Bristol is a small community within the town of East Gwillimbury in Ontario, Canada.
  • 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: Bristol
Triple: [The Spanish Princess, filmingLocation, Bristol]
Generated description
Bristol is a historic port city in southwest England known for its maritime heritage, vibrant arts scene, and distinctive Georgian and Victorian architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bristol
Target entity description: Bristol is a historic port city in southwest England known for its maritime heritage, vibrant arts scene, and distinctive Georgian and Victorian architecture.
  • A. Bristol chosen
    Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
  • B. Bristol
    Bristol is a historic coastal town in Rhode Island known for its maritime heritage and one of the oldest continuous Fourth of July celebrations in the United States.
  • C. Bristol
    Bristol is a city in central Connecticut known for being the home of ESPN and for its historic clock-making industry.
  • D. Bristol
    Bristol is a city in central Connecticut known historically for its clock-making industry and as the longtime home of ESPN’s headquarters.
  • E. Bristol
    Bristol is a historic borough in Bucks County, Pennsylvania, located along the Delaware River northeast of Philadelphia.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319da3c6c8190a9ccf744996c31e8 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035537d188190a88753d58939faf4 completed May 10, 2026, 7:35 a.m.
NEDg Description generation batch_6a0036e07d2081908db03dcc133f8421 completed May 10, 2026, 7:42 a.m.
NED2 Entity disambiguation (via description) batch_6a00384f51d081909a5ab0630f82d173 completed May 10, 2026, 7:48 a.m.
Created at: April 10, 2026, 5:08 a.m.