Triple

T817629
Position Surface form Disambiguated ID Type / Status
Subject Southampton E17684 entity
Predicate hasLandmark P105 FINISHED
Object Bargate
Bargate is a historic medieval gatehouse and former main entrance to the walled city of Southampton, England, now a prominent civic monument and landmark.
 E103858 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: Bargate | Statement: [Southampton, hasLandmark, Bargate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bargate
Context triple: [Southampton, hasLandmark, Bargate]
  • A. Hawkenbury
    Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
  • B. Baguley
    Baguley is a suburban area in Wythenshawe, south Manchester, England, known primarily as a residential district with local transport links and amenities.
  • C. Narborough
    Narborough is a village in the English county of Norfolk, known for its rural setting and historic parish character.
  • D. Calshot
    Calshot is a coastal village and shingle spit on the south coast of England, known for its historic seaplane station and proximity to the entrance of Southampton Water.
  • E. Windlesham
    Windlesham is a village and civil parish in the Surrey Heath district of Surrey, England, known for its affluent residential character and leafy surroundings.
  • 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: Bargate
Triple: [Southampton, hasLandmark, Bargate]
Generated description
Bargate is a historic medieval gatehouse and former main entrance to the walled city of Southampton, England, now a prominent civic monument and landmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bargate
Target entity description: Bargate is a historic medieval gatehouse and former main entrance to the walled city of Southampton, England, now a prominent civic monument and landmark.
  • A. Hawkenbury
    Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
  • B. Baguley
    Baguley is a suburban area in Wythenshawe, south Manchester, England, known primarily as a residential district with local transport links and amenities.
  • C. Narborough
    Narborough is a village in the English county of Norfolk, known for its rural setting and historic parish character.
  • D. Calshot
    Calshot is a coastal village and shingle spit on the south coast of England, known for its historic seaplane station and proximity to the entrance of Southampton Water.
  • E. Windlesham
    Windlesham is a village and civil parish in the Surrey Heath district of Surrey, England, known for its affluent residential character and leafy surroundings.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab63f4a48190a61a14c3c41ed641 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84122cc81909b12b69e27d50008 completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7b946a4348190bfe86d5b93696383 completed March 4, 2026, 4:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7b9bb13f08190ad75518ba81b210d completed March 4, 2026, 4:48 a.m.
Created at: March 1, 2026, 7:38 p.m.