Triple

T15780387
Position Surface form Disambiguated ID Type / Status
Subject Jake Simmonds E382596 entity
Predicate basedIn P40 FINISHED
Object London (parallel Earth)
London (parallel Earth) is a fictional alternate-reality version of the real-world city of London, typically depicted with divergent history, culture, or technology from our own Earth.
E1177537 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: London (parallel Earth) | Statement: [Jake Simmonds, basedIn, London (parallel Earth)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London (parallel Earth)
Context triple: [Jake Simmonds, basedIn, London (parallel Earth)]
  • A. London, England
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • B. Londiani
    Londiani is a town in Kenya’s Rift Valley region, known as a local commercial and transport hub within Kericho County.
  • C. London
    London is a major Ethereum network upgrade that introduced significant changes to the protocol’s fee market and transaction pricing mechanisms.
  • D. London
    London is a major city in Kiribati, located on Kiritimati (Christmas Island) in the central Pacific Ocean.
  • E. Allondon
    Allondon is a small river in western Switzerland and neighboring France, known for flowing through the Geneva region and its natural, relatively unspoiled surroundings.
  • 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: London (parallel Earth)
Triple: [Jake Simmonds, basedIn, London (parallel Earth)]
Generated description
London (parallel Earth) is a fictional alternate-reality version of the real-world city of London, typically depicted with divergent history, culture, or technology from our own Earth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: London (parallel Earth)
Target entity description: London (parallel Earth) is a fictional alternate-reality version of the real-world city of London, typically depicted with divergent history, culture, or technology from our own Earth.
  • A. London, England
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • B. Londiani
    Londiani is a town in Kenya’s Rift Valley region, known as a local commercial and transport hub within Kericho County.
  • C. London
    London is a major Ethereum network upgrade that introduced significant changes to the protocol’s fee market and transaction pricing mechanisms.
  • D. London
    London is a major city in Kiribati, located on Kiritimati (Christmas Island) in the central Pacific Ocean.
  • E. Allondon
    Allondon is a small river in western Switzerland and neighboring France, known for flowing through the Geneva region and its natural, relatively unspoiled surroundings.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e053fea90081908e3fe4f91475bead completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff909f7f4481909cceb32e26af3780 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff93cf529c819097537d87689aad93 completed May 9, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff944ac4248190a3d60c2486910eaf completed May 9, 2026, 8:08 p.m.
Created at: April 10, 2026, 4:48 a.m.