Triple

T12556777
Position Surface form Disambiguated ID Type / Status
Subject Nokia Series 40 E295236 entity
Predicate abbreviation P43 FINISHED
Object S40
S40 is Nokia's widely used mobile phone software platform and user interface found on many of its feature phones.
 E990823 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: S40 | Statement: [Nokia Series 40, abbreviation, S40]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S40
Context triple: [Nokia Series 40, abbreviation, S40]
  • A. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • B. S4
    S4 is a commuter rail line of the Nuremberg S-Bahn network serving regional passenger traffic in and around Nuremberg, Germany.
  • C. S4
    S4 is a major expressway in China commonly referred to as the Hujin Expressway, connecting Shanghai with nearby Jinshan.
  • D. S4
    S4 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving suburban and regional connections across the metropolitan area.
  • E. S4
    S4 is a commuter rail line of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area in Germany.
  • 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: S40
Triple: [Nokia Series 40, abbreviation, S40]
Generated description
S40 is Nokia's widely used mobile phone software platform and user interface found on many of its feature phones.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S40
Target entity description: S40 is Nokia's widely used mobile phone software platform and user interface found on many of its feature phones.
  • A. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • B. S4
    S4 is a major expressway in China commonly referred to as the Hujin Expressway, connecting Shanghai with nearby Jinshan.
  • C. S4
    S4 is a commuter rail line of the Nuremberg S-Bahn network serving regional passenger traffic in and around Nuremberg, Germany.
  • D. S4
    S4 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving suburban and regional connections across the metropolitan area.
  • E. S4
    S4 is a commuter rail line of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area in Germany.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95490d2708190857f0cb9b8dd6a30 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655895c9c819082f41e79906567c6 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6599e89708190bc1d38e9702d7626 completed May 2, 2026, 8:07 p.m.
NED2 Entity disambiguation (via description) batch_69f65a414118819095049600f1ad6d63 completed May 2, 2026, 8:10 p.m.
Created at: April 8, 2026, 11:47 p.m.