Triple

T3250800
Position Surface form Disambiguated ID Type / Status
Subject HMS Heron E68172 entity
Predicate location P40 FINISHED
Object Yeovilton
Yeovilton is a village in Somerset, England, best known for its Royal Naval Air Station and strong association with British naval aviation.
E340478 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: Yeovilton | Statement: [HMS Heron, location, Yeovilton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeovilton
Context triple: [HMS Heron, location, Yeovilton]
  • A. Nailsea
    Nailsea is a small town in North Somerset, England, historically known for its glassmaking and coal mining industries.
  • B. Torquay
    Torquay is a seaside resort town on the English Riviera in Devon, England, known for its mild climate, beaches, and Victorian-era tourism.
  • C. Yeovil
    Yeovil is a town in Somerset, England, known historically for its aircraft and defence industries and serving as a commercial and service hub for the surrounding rural area.
  • D. Saltash
    Saltash is a historic town in southeast Cornwall, England, situated on the River Tamar just across from Plymouth and known as a traditional gateway into Cornwall.
  • E. Bridgwater
    Bridgwater is a historic market town in Somerset, England, known for its maritime heritage and role in regional trade and industry.
  • 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: Yeovilton
Triple: [HMS Heron, location, Yeovilton]
Generated description
Yeovilton is a village in Somerset, England, best known for its Royal Naval Air Station and strong association with British naval aviation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yeovilton
Target entity description: Yeovilton is a village in Somerset, England, best known for its Royal Naval Air Station and strong association with British naval aviation.
  • A. Nailsea
    Nailsea is a small town in North Somerset, England, historically known for its glassmaking and coal mining industries.
  • B. Torquay
    Torquay is a seaside resort town on the English Riviera in Devon, England, known for its mild climate, beaches, and Victorian-era tourism.
  • C. Yeovil
    Yeovil is a town in Somerset, England, known historically for its aircraft and defence industries and serving as a commercial and service hub for the surrounding rural area.
  • D. Saltash
    Saltash is a historic town in southeast Cornwall, England, situated on the River Tamar just across from Plymouth and known as a traditional gateway into Cornwall.
  • E. Bridgwater
    Bridgwater is a historic market town in Somerset, England, known for its maritime heritage and role in regional trade and industry.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf40f7908190a450c3136fccb020 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2776d5e108190a4db748c98fc8316 completed March 12, 2026, 8:21 a.m.
NEDg Description generation batch_69b2780e41e0819080ddb26668f32838 completed March 12, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69b27bd238a48190b9d13ee8a8bc955d completed March 12, 2026, 8:39 a.m.
Created at: March 8, 2026, 3:09 p.m.