Triple

T14084257
Position Surface form Disambiguated ID Type / Status
Subject Dikson E338947 entity
Predicate hasAlternativeName P39 FINISHED
Object Dixon
Dixon is an alternative name for Dikson, a remote Arctic settlement and port in northern Russia.
E1080855 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: Dixon | Statement: [Dikson, hasAlternativeName, Dixon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dixon
Context triple: [Dikson, hasAlternativeName, Dixon]
  • A. Dixon
    Dixon is a small agricultural city in Northern California known historically for sheep ranching and its annual May Fair.
  • B. Dillon
    Dillon is a tough, muscular CIA operative portrayed by Carl Weathers in the 1987 sci-fi action film "Predator."
  • C. Dillon
    Dillon is the middle name of famed American baseball player and manager Casey Stengel.
  • D. Dillon
    Dillon is a small city in southwestern Montana known as a regional hub for ranching, outdoor recreation, and as the home of the University of Montana Western.
  • E. Dillon
    Dillon is a surname of Irish origin that has been borne by numerous notable individuals across various fields.
  • 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: Dixon
Triple: [Dikson, hasAlternativeName, Dixon]
Generated description
Dixon is an alternative name for Dikson, a remote Arctic settlement and port in northern Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dixon
Target entity description: Dixon is an alternative name for Dikson, a remote Arctic settlement and port in northern Russia.
  • A. Dixon
    Dixon is a small agricultural city in Northern California known historically for sheep ranching and its annual May Fair.
  • B. Dillon
    Dillon is the middle name of famed American baseball player and manager Casey Stengel.
  • C. Dillon
    Dillon is a small city in southwestern Montana known as a regional hub for ranching, outdoor recreation, and as the home of the University of Montana Western.
  • D. Dillon
    Dillon is a tough, muscular CIA operative portrayed by Carl Weathers in the 1987 sci-fi action film "Predator."
  • E. Dillon
    Dillon is a surname of Irish origin that has been borne by numerous notable individuals across various fields.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ede40048190b465e909565730c1 completed April 14, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a3e55c81909b52f618e9076dd2 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd2ae45108190b1f400e4ae16a258 completed May 7, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3ad7be8819094fc71c9f44fb4cb completed May 7, 2026, 6:02 p.m.
Created at: April 9, 2026, 10:21 p.m.