Triple

T18736747
Position Surface form Disambiguated ID Type / Status
Subject Basingstoke and Deane E458181 entity
Predicate hasVillage P4011 FINISHED
Object Hannington
Hannington is a small rural village in the English county of Hampshire, known for its traditional countryside setting and historic character.
 E1340818 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: Hannington | Statement: [Basingstoke and Deane, hasVillage, Hannington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hannington
Context triple: [Basingstoke and Deane, hasVillage, Hannington]
  • A. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • B. Hellingly
    Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
  • C. Haseldine
    Haseldine is the middle name of William Haseldine Pepys, an English scientist and instrument maker active in the late 18th and early 19th centuries.
  • D. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • E. Harrold
    Harrold is a given name and surname, used as a variant spelling of Harold.
  • 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: Hannington
Triple: [Basingstoke and Deane, hasVillage, Hannington]
Generated description
Hannington is a small rural village in the English county of Hampshire, known for its traditional countryside setting and historic character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hannington
Target entity description: Hannington is a small rural village in the English county of Hampshire, known for its traditional countryside setting and historic character.
  • A. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • B. Hellingly
    Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
  • C. Haseldine
    Haseldine is the middle name of William Haseldine Pepys, an English scientist and instrument maker active in the late 18th and early 19th centuries.
  • D. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • E. Harrold
    Harrold is a given name and surname, used as a variant spelling of Harold.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e57689fa508190ad821d361cba9edf completed April 20, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053261c074819081acb03dd7f8f62a completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a05369aa0488190b05cb5d1204db6d3 completed May 14, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a053766f7b48190b3b01ee99b22f57d completed May 14, 2026, 2:45 a.m.
Created at: April 10, 2026, 11:51 a.m.