Triple

T13024083
Position Surface form Disambiguated ID Type / Status
Subject Nokia E75 E326255 entity
Predicate modelNumber P8607 FINISHED
Object E75
The E75 is a Nokia Eseries smartphone known for its slide-out QWERTY keyboard and business-oriented features.
 E1014952 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: E75 | Statement: [Nokia E75, modelNumber, E75]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E75
Context triple: [Nokia E75, modelNumber, E75]
  • A. E75
    E75 is a major north–south European route running from northern Norway through central Europe to Greece, forming part of the international E-road network.
  • B. E70
    E70 is a Nokia Eseries smartphone known for its fold-out full QWERTY keyboard and business-oriented features.
  • C. E70
    E70 is BMW's internal model designation for the second-generation X5 mid-size luxury SUV produced from 2006 to 2013.
  • D. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • E. EC75
    The EC75 is an Airbus Helicopters medium twin-engine helicopter model, commonly known as the H175, used for roles such as offshore transport, search and rescue, and executive transport.
  • 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: E75
Triple: [Nokia E75, modelNumber, E75]
Generated description
The E75 is a Nokia Eseries smartphone known for its slide-out QWERTY keyboard and business-oriented features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E75
Target entity description: The E75 is a Nokia Eseries smartphone known for its slide-out QWERTY keyboard and business-oriented features.
  • A. E75
    E75 is a major north–south European route running from northern Norway through central Europe to Greece, forming part of the international E-road network.
  • B. E70
    E70 is BMW's internal model designation for the second-generation X5 mid-size luxury SUV produced from 2006 to 2013.
  • C. E70
    E70 is a Nokia Eseries smartphone known for its fold-out full QWERTY keyboard and business-oriented features.
  • D. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • E. EC75
    The EC75 is an Airbus Helicopters medium twin-engine helicopter model, commonly known as the H175, used for roles such as offshore transport, search and rescue, and executive transport.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efac71881908a21d70c3c6ce099 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11c1f6c8190be1c570a7e44a313 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c20aff008190a1a10ac02ed08726 completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c2de143c81908164f5df2b92e5c3 completed May 3, 2026, 3:37 a.m.
Created at: April 9, 2026, 8:52 p.m.