Triple

T14689279
Position Surface form Disambiguated ID Type / Status
Subject The Reach E344996 entity
Predicate containsCity P294 FINISHED
Object Ashford
Ashford is a town in the Reach, a fertile and populous region of the continent of Westeros in the world of "A Song of Ice and Fire."
E1114195 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: Ashford | Statement: [The Reach, containsCity, Ashford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashford
Context triple: [The Reach, containsCity, Ashford]
  • A. Ashford
    Ashford is a large and rapidly growing town in the county of Kent in southeast England, known as a key transport hub with high-speed rail links to London and continental Europe.
  • B. Ashford
    Ashford is a small rural town in northern New South Wales, Australia, known for agriculture and its proximity to natural attractions such as caves and rivers.
  • C. Ashford
    Ashford is an inner south-western suburb of Adelaide, South Australia, known for its proximity to the city centre and major medical facilities.
  • D. ASHFORD
    ASHFORD is a town in the borough of Spelthorne in Surrey, England, forming part of the London commuter belt.
  • E. New Ashford
    New Ashford is a small rural town in western Massachusetts, United States, known for its scenic setting in the Berkshires.
  • 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: Ashford
Triple: [The Reach, containsCity, Ashford]
Generated description
Ashford is a town in the Reach, a fertile and populous region of the continent of Westeros in the world of "A Song of Ice and Fire."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ashford
Target entity description: Ashford is a town in the Reach, a fertile and populous region of the continent of Westeros in the world of "A Song of Ice and Fire."
  • A. Ashford
    Ashford is a large and rapidly growing town in the county of Kent in southeast England, known as a key transport hub with high-speed rail links to London and continental Europe.
  • B. Ashford
    Ashford is a small rural town in northern New South Wales, Australia, known for agriculture and its proximity to natural attractions such as caves and rivers.
  • C. Ashford
    Ashford is an inner south-western suburb of Adelaide, South Australia, known for its proximity to the city centre and major medical facilities.
  • D. ASHFORD
    ASHFORD is a town in the borough of Spelthorne in Surrey, England, forming part of the London commuter belt.
  • E. New Ashford
    New Ashford is a small rural town in western Massachusetts, United States, known for its scenic setting in the Berkshires.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5844de481908a796eaa474bfde9 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde189771c81909289b8b044e32547 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde5fd6854819083957f2c653eb8b6 completed May 8, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69fde6ffc27881909427d24560011cdf completed May 8, 2026, 1:37 p.m.
Created at: April 10, 2026, 1:28 a.m.