Triple

T12577989
Position Surface form Disambiguated ID Type / Status
Subject Nokia E51 E300258 entity
Predicate series P1761 FINISHED
Object Eseries
Eseries is Nokia's line of business-oriented smartphones designed with features like robust email support, security, and productivity tools for professional users.
 E990600 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: Eseries | Statement: [Nokia E51, series, Eseries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eseries
Context triple: [Nokia E51, series, Eseries]
  • A. Série 4000
    Série 4000 is a class of high-speed electric multiple unit trains used by Comboios de Portugal for its Alfa Pendular premium intercity services.
  • B. LC series
    The LC series is a line of low-cost, education-focused Macintosh desktop computers produced by Apple in the early 1990s.
  • C. Ohm
    The Ohm is a river in the German state of Hesse that flows through towns such as Marburg before joining the Lahn.
  • D. MCP series
    The MCP series is a line of Motorola VMEbus-based computer systems designed for embedded and industrial computing applications.
  • E. G Series
    G Series is Dell’s line of gaming-focused laptops and desktops designed to offer strong performance at more affordable prices than its premium Alienware range.
  • 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: Eseries
Triple: [Nokia E51, series, Eseries]
Generated description
Eseries is Nokia's line of business-oriented smartphones designed with features like robust email support, security, and productivity tools for professional users.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eseries
Target entity description: Eseries is Nokia's line of business-oriented smartphones designed with features like robust email support, security, and productivity tools for professional users.
  • A. Série 4000
    Série 4000 is a class of high-speed electric multiple unit trains used by Comboios de Portugal for its Alfa Pendular premium intercity services.
  • B. LC series
    The LC series is a line of low-cost, education-focused Macintosh desktop computers produced by Apple in the early 1990s.
  • C. Ohm
    The Ohm is a river in the German state of Hesse that flows through towns such as Marburg before joining the Lahn.
  • D. MCP series
    The MCP series is a line of Motorola VMEbus-based computer systems designed for embedded and industrial computing applications.
  • E. G Series
    G Series is Dell’s line of gaming-focused laptops and desktops designed to offer strong performance at more affordable prices than its premium Alienware range.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a73c148190bba8f16b1232fd46 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65599a9c0819086233fb2c622d243 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f657299e54819093c9c2a6fa80f2eb completed May 2, 2026, 7:57 p.m.
NED2 Entity disambiguation (via description) batch_69f657ea0c6c8190992a0101904e92f2 completed May 2, 2026, 8 p.m.
Created at: April 9, 2026, 4:53 p.m.