Triple

T2729267
Position Surface form Disambiguated ID Type / Status
Subject Hartford County E60269 entity
Predicate hasCity P316 FINISHED
Object Andover
Andover is a small rural town in northeastern Connecticut known for its lakes, forests, and residential character.
 E421215 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: [Hartford County, hasCity, Andover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andover
Context triple: [Hartford County, hasCity, 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, 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.
  • D. 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.
  • E. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • 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: [Hartford County, hasCity, Andover]
Generated description
Andover is a small rural town in northeastern Connecticut known for its lakes, forests, and residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andover
Target entity description: Andover is a small rural town in northeastern Connecticut known for its lakes, forests, and residential character.
  • 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, 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.
  • D. 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.
  • E. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaeaee388190a21e7fa0b8f83546 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69b595d57bcc8190b2a6e28437a32b93 completed March 14, 2026, 5:07 p.m.
NEDg Description generation batch_69b59669d7b08190b1cbacd9b694aa81 completed March 14, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_69b59762105481908e3534600486b82d completed March 14, 2026, 5:14 p.m.
Created at: March 6, 2026, 9:56 p.m.