Triple

T19967295
Position Surface form Disambiguated ID Type / Status
Subject Hunyani River E479970 entity
Predicate passesNear P416 FINISHED
Object Norton
Norton is a town in Zimbabwe located west of Harare, known for its agricultural activities and proximity to major transport routes.
E384587 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: Norton | Statement: [Hunyani River, passesNear, Norton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norton
Context triple: [Hunyani River, passesNear, Norton]
  • A. Norton
    Norton is a surname of English origin borne by numerous notable individuals across fields such as literature, politics, and the arts.
  • B. Norton
    Norton is a small town in Bristol County, southeastern Massachusetts, known for being home to Wheaton College and several scenic ponds and conservation areas.
  • C. Norton
    Norton is a historic British motorcycle manufacturer renowned for its success in mid-20th-century road racing and the Isle of Man TT.
  • D. Norton
    Norton is a town within the Teesside urban area in North East England, known for its historic high street and village green.
  • E. Norton
    Norton is a village in Gloucestershire, England, situated near the River Chelt and close to the town of Cheltenham.
  • 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: Norton
Triple: [Hunyani River, passesNear, Norton]
Generated description
Norton is a town in Zimbabwe located west of Harare, known for its agricultural activities and proximity to major transport routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Norton
Target entity description: Norton is a town in Zimbabwe located west of Harare, known for its agricultural activities and proximity to major transport routes.
  • A. Norton chosen
    Norton is a town in Zimbabwe located near the Manyame River, known for its agricultural activities and proximity to the capital, Harare.
  • B. Norton
    Norton is a village in Gloucestershire, England, situated near the River Chelt and close to the town of Cheltenham.
  • C. Norton
    Norton is a town within the Teesside urban area in North East England, known for its historic high street and village green.
  • D. Norton
    Norton is a small town in Bristol County, southeastern Massachusetts, known for being home to Wheaton College and several scenic ponds and conservation areas.
  • E. Norton
    Norton is a residential suburb within the town of Runcorn in Cheshire, England.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc5e41881908c1e8867820f1c0c completed April 20, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f26a55c81908d578d3e40dd49ae completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a08203132d48190b3f1313dae3e6fc1 completed May 16, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0821390af08190a4aca33d33f0e71d completed May 16, 2026, 7:48 a.m.
Created at: April 10, 2026, 1:54 p.m.