Triple

T1827124
Position Surface form Disambiguated ID Type / Status
Subject South Cambridgeshire E40677 entity
Predicate containsSettlement P847 FINISHED
Object Gamlingay
Gamlingay is a rural village and civil parish in Cambridgeshire, England, known for its historic architecture and surrounding countryside.
E203264 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: Gamlingay | Statement: [South Cambridgeshire, containsSettlement, Gamlingay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamlingay
Context triple: [South Cambridgeshire, containsSettlement, Gamlingay]
  • A. Hawkenbury
    Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
  • B. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • C. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • D. Glympton
    Glympton is a small rural village in Oxfordshire, England, known for its historic manor and traditional English countryside setting.
  • E. Crowland
    Crowland is a historic market town in the South Holland district of Lincolnshire, England, best known for its medieval abbey ruins and distinctive three-sided bridge.
  • 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: Gamlingay
Triple: [South Cambridgeshire, containsSettlement, Gamlingay]
Generated description
Gamlingay is a rural village and civil parish in Cambridgeshire, England, known for its historic architecture and surrounding countryside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gamlingay
Target entity description: Gamlingay is a rural village and civil parish in Cambridgeshire, England, known for its historic architecture and surrounding countryside.
  • A. Hawkenbury
    Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
  • B. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • C. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • D. Glympton
    Glympton is a small rural village in Oxfordshire, England, known for its historic manor and traditional English countryside setting.
  • E. Crowland
    Crowland is a historic market town in the South Holland district of Lincolnshire, England, best known for its medieval abbey ruins and distinctive three-sided bridge.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb01022108190b1da05a31454ab8d completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6b4bdc8190b53dbdc9c31e3685 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc07fff60819092b10dd0e417ac5a completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc0fd79c48190864f53a90517edc6 completed March 8, 2026, 6:33 p.m.
Created at: March 4, 2026, 7:32 p.m.