Triple

T10160037
Position Surface form Disambiguated ID Type / Status
Subject Hergest Ridge E233864 entity
Predicate locatedNear P294 FINISHED
Object Hergest
Hergest is a rural area on the English–Welsh border known for its rolling hills and proximity to the landscape featured in Mike Oldfield’s album "Hergest Ridge."
 E845497 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: Hergest | Statement: [Hergest Ridge, locatedNear, Hergest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hergest
Context triple: [Hergest Ridge, locatedNear, Hergest]
  • A. Hellingly
    Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
  • B. Grindon
    Grindon is a residential suburb of Sunderland in the Wearside area of North East England.
  • C. Ewhurst
    Ewhurst is a rural village and civil parish in Surrey, England, known for its scenic countryside setting on the edge of the Surrey Hills.
  • D. Shudehill
    Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
  • E. Aherlow
    Aherlow is a scenic village in County Tipperary, Ireland, best known for its location in the picturesque Glen of Aherlow between the Galtee Mountains and the Slievenamuck Hills.
  • 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: Hergest
Triple: [Hergest Ridge, locatedNear, Hergest]
Generated description
Hergest is a rural area on the English–Welsh border known for its rolling hills and proximity to the landscape featured in Mike Oldfield’s album "Hergest Ridge."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hergest
Target entity description: Hergest is a rural area on the English–Welsh border known for its rolling hills and proximity to the landscape featured in Mike Oldfield’s album "Hergest Ridge."
  • A. Hellingly
    Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
  • B. Grindon
    Grindon is a residential suburb of Sunderland in the Wearside area of North East England.
  • C. Ewhurst
    Ewhurst is a rural village and civil parish in Surrey, England, known for its scenic countryside setting on the edge of the Surrey Hills.
  • D. Shudehill
    Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
  • E. Aherlow
    Aherlow is a scenic village in County Tipperary, Ireland, best known for its location in the picturesque Glen of Aherlow between the Galtee Mountains and the Slievenamuck Hills.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec5831e481909b48fdfa8f1c670b completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300b7b3108190a8e7581193c322be completed April 6, 2026, 12:39 a.m.
NEDg Description generation batch_69d30254aabc8190966a4398c59a851e completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d30305924c8190998cbefa372dca9a completed April 6, 2026, 12:49 a.m.
Created at: March 30, 2026, 9:09 p.m.