Triple

T2777477
Position Surface form Disambiguated ID Type / Status
Subject Windsor and Maidenhead E61607 entity
Predicate contains P35 FINISHED
Object Holyport
Holyport is a village in Berkshire, England, known for its traditional green, historic pubs, and proximity to the towns of Windsor and Maidenhead.
 E296383 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: Holyport | Statement: [Windsor and Maidenhead, contains, Holyport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Holyport
Context triple: [Windsor and Maidenhead, contains, Holyport]
  • A. Nailsea
    Nailsea is a small town in North Somerset, England, historically known for its glassmaking and coal mining industries.
  • B. Weymouth
    Weymouth is a seaside town and popular tourist resort on the south coast of Dorset, England, known for its sandy beach and Georgian seafront.
  • C. Weymouth
    Weymouth is a coastal town in eastern Massachusetts known as one of the state’s oldest settlements and a residential suburb of Boston.
  • D. Attleborough
    Attleborough is a market town and civil parish in the English county of Norfolk.
  • E. Torquay
    Torquay is a seaside resort town on the English Riviera in Devon, England, known for its mild climate, beaches, and Victorian-era tourism.
  • 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: Holyport
Triple: [Windsor and Maidenhead, contains, Holyport]
Generated description
Holyport is a village in Berkshire, England, known for its traditional green, historic pubs, and proximity to the towns of Windsor and Maidenhead.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Holyport
Target entity description: Holyport is a village in Berkshire, England, known for its traditional green, historic pubs, and proximity to the towns of Windsor and Maidenhead.
  • A. Nailsea
    Nailsea is a small town in North Somerset, England, historically known for its glassmaking and coal mining industries.
  • B. Weymouth
    Weymouth is a seaside town and popular tourist resort on the south coast of Dorset, England, known for its sandy beach and Georgian seafront.
  • C. Weymouth
    Weymouth is a coastal town in eastern Massachusetts known as one of the state’s oldest settlements and a residential suburb of Boston.
  • D. Attleborough
    Attleborough is a market town and civil parish in the English county of Norfolk.
  • E. Torquay
    Torquay is a seaside resort town on the English Riviera in Devon, England, known for its mild climate, beaches, and Victorian-era tourism.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd82a864819082bd1181a16d5208 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05adf908190bd16bbb6f8ea213a completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc0d32d5881908b80e0bfca5cd873 completed March 10, 2026, 6:57 a.m.
NED2 Entity disambiguation (via description) batch_69afc13548088190a2d5f48144c853a4 completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:57 p.m.