Triple

T5419124
Position Surface form Disambiguated ID Type / Status
Subject East Hampshire E121204 entity
Predicate containsSettlement P847 FINISHED
Object Froyle
Froyle is a small rural village in Hampshire, England, known for its historic church and traditional English countryside setting.
 E519860 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: Froyle | Statement: [East Hampshire, containsSettlement, Froyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Froyle
Context triple: [East Hampshire, containsSettlement, Froyle]
  • A. Blyford
    Blyford is a small rural village located in the English county of Suffolk.
  • B. Frittenden
    Frittenden is a rural village and civil parish in the county of Kent in South East England, known for its historic church and traditional countryside character.
  • C. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • D. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • E. Reydon
    Reydon is a village and civil parish in the English county of Suffolk, located near the coastal town of Southwold.
  • 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: Froyle
Triple: [East Hampshire, containsSettlement, Froyle]
Generated description
Froyle is a small rural village in Hampshire, England, known for its historic church and traditional English countryside setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Froyle
Target entity description: Froyle is a small rural village in Hampshire, England, known for its historic church and traditional English countryside setting.
  • A. Blyford
    Blyford is a small rural village located in the English county of Suffolk.
  • B. Frittenden
    Frittenden is a rural village and civil parish in the county of Kent in South East England, known for its historic church and traditional countryside character.
  • C. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • D. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • E. Reydon
    Reydon is a village and civil parish in the English county of Suffolk, located near the coastal town of Southwold.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87e7ae388190b26d16d42e717023 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ab152248190847686ff42ac810c completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3b72f1fc8190a2fbc516cf75abdb completed March 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf3f44fdd08190bb9ba0e10e4410af completed March 22, 2026, 1 a.m.
Created at: March 20, 2026, 2:05 p.m.