Triple

T4896614
Position Surface form Disambiguated ID Type / Status
Subject Kimpton E109697 entity
Predicate locatedNear P294 FINISHED
Object Andover
Andover is a historic market town in the county of Hampshire in southern England.
 E182020 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: Andover | Statement: [Kimpton, locatedNear, Andover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andover
Context triple: [Kimpton, locatedNear, Andover]
  • A. Andover
    Andover is a town in Hampshire, England, known in part for its role as a major administrative and logistical center for the British Army.
  • B. Andover
    Andover is a town in northeastern Massachusetts known for its historic New England character, strong public schools, and institutions like Phillips Academy.
  • C. Andover
    Andover is a small rural town in northeastern Connecticut known for its lakes, forests, and residential character.
  • D. Andover, Maine
    Andover, Maine is a small rural town in Oxford County known for its scenic western Maine mountains, outdoor recreation, and historic New England character.
  • E. North Andover
    North Andover is a suburban town in northeastern Massachusetts known for its residential character, historic sites, and proximity to the city of Lawrence.
  • 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: Andover
Triple: [Kimpton, locatedNear, Andover]
Generated description
Andover is a historic market town in the county of Hampshire in southern England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andover
Target entity description: Andover is a historic market town in the county of Hampshire in southern England.
  • A. Andover chosen
    Andover is a town in Hampshire, England, known in part for its role as a major administrative and logistical center for the British Army.
  • B. Andover
    Andover is a town in northeastern Massachusetts known for its historic New England character, strong public schools, and institutions like Phillips Academy.
  • C. Andover
    Andover is a small rural town in northeastern Connecticut known for its lakes, forests, and residential character.
  • D. Andover, Maine
    Andover, Maine is a small rural town in Oxford County known for its scenic western Maine mountains, outdoor recreation, and historic New England character.
  • E. North Andover
    North Andover is a suburban town in northeastern Massachusetts known for its residential character, historic sites, and proximity to the city of Lawrence.
  • F. None of above.

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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e2923a081909bd592880b6f399b completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f32101e08190888a1f44c2224e1e completed April 4, 2026, 11:16 a.m.
NEDg Description generation batch_69d0f46bd034819093e7157a3e1ac1fc completed April 4, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_69d0f5bf64548190b40e97b279db5105 completed April 4, 2026, 11:27 a.m.
Created at: March 20, 2026, 1:28 p.m.