Triple

T1110021
Position Surface form Disambiguated ID Type / Status
Subject Tunbridge Wells borough E25572 entity
Predicate contains P35 FINISHED
Object 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.
 E149893 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: Frittenden | Statement: [Tunbridge Wells borough, contains, Frittenden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frittenden
Context triple: [Tunbridge Wells borough, contains, Frittenden]
  • A. Leintwardine
    Leintwardine is a small historic village in Herefordshire, England, near the Welsh border, known for its Roman heritage and rural setting.
  • B. Delaford
    Delaford is the country estate in Jane Austen’s "Sense and Sensibility" that becomes the home of Elinor Dashwood and Colonel Brandon.
  • C. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • D. Swerford
    Swerford is a small rural village in Oxfordshire, England, known for its historic stone cottages and picturesque countryside setting.
  • E. Bordon
    Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
  • 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: Frittenden
Triple: [Tunbridge Wells borough, contains, Frittenden]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frittenden
Target entity description: 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.
  • A. Leintwardine
    Leintwardine is a small historic village in Herefordshire, England, near the Welsh border, known for its Roman heritage and rural setting.
  • B. Delaford
    Delaford is the country estate in Jane Austen’s "Sense and Sensibility" that becomes the home of Elinor Dashwood and Colonel Brandon.
  • C. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • D. Swerford
    Swerford is a small rural village in Oxfordshire, England, known for its historic stone cottages and picturesque countryside setting.
  • E. Bordon
    Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4ba045fd88190982e1c6278fb9ca3 completed March 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbad845648190a3ee31506ac1a84c completed March 7, 2026, 11:55 p.m.
NEDg Description generation batch_69acbb7f877081909fad30dac9254a34 completed March 7, 2026, 11:57 p.m.
NED2 Entity disambiguation (via description) batch_69acbbdbab04819087b42477acbbb5f4 completed March 7, 2026, 11:59 p.m.
Created at: March 1, 2026, 7:43 p.m.