Triple

T1908779
Position Surface form Disambiguated ID Type / Status
Subject Hertfordshire E38060 entity
Predicate containsSettlement P847 FINISHED
Object Bovingdon
Bovingdon is a large village and civil parish in Hertfordshire, England, known for its historic airfield and proximity to the town of Hemel Hempstead.
E233094 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: Bovingdon | Statement: [Hertfordshire, containsSettlement, Bovingdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bovingdon
Context triple: [Hertfordshire, containsSettlement, Bovingdon]
  • A. Harpenden
    Harpenden is a commuter town in southern England known for its green spaces and affluent residential character.
  • B. Hertford Heath
    Hertford Heath is a village and civil parish in Hertfordshire, England, known for its rural character, common land, and proximity to the town of Hertford.
  • C. Haslingfield
    Haslingfield is a rural village and civil parish in the district of South Cambridgeshire in eastern England, known for its historic church and agricultural surroundings.
  • D. Hunsdon
    Hunsdon is a rural village and civil parish in Hertfordshire, England, known for its historic airfield and countryside setting.
  • E. Buntingford
    Buntingford is a small historic market town in Hertfordshire, England, known for its traditional high street and rural 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: Bovingdon
Triple: [Hertfordshire, containsSettlement, Bovingdon]
Generated description
Bovingdon is a large village and civil parish in Hertfordshire, England, known for its historic airfield and proximity to the town of Hemel Hempstead.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bovingdon
Target entity description: Bovingdon is a large village and civil parish in Hertfordshire, England, known for its historic airfield and proximity to the town of Hemel Hempstead.
  • A. Harpenden
    Harpenden is a commuter town in southern England known for its green spaces and affluent residential character.
  • B. Hertford Heath
    Hertford Heath is a village and civil parish in Hertfordshire, England, known for its rural character, common land, and proximity to the town of Hertford.
  • C. Haslingfield
    Haslingfield is a rural village and civil parish in the district of South Cambridgeshire in eastern England, known for its historic church and agricultural surroundings.
  • D. Hunsdon
    Hunsdon is a rural village and civil parish in Hertfordshire, England, known for its historic airfield and countryside setting.
  • E. Buntingford
    Buntingford is a small historic market town in Hertfordshire, England, known for its traditional high street and rural 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1b55edc8190bce8ac97196939a9 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3042bdf08190bf43c9246fcc114e completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae30e0411c81908cd19bf8d3525056 completed March 9, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69ae31849d7c8190a4e3c90334bf21a5 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:35 p.m.