Triple

T14497983
Position Surface form Disambiguated ID Type / Status
Subject Nokia N92 E359553 entity
Predicate modelNumber P8607 FINISHED
Object N92
N92 is a Nokia smartphone model known for its early support of mobile TV and multimedia features.
E1101907 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: N92 | Statement: [Nokia N92, modelNumber, N92]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N92
Context triple: [Nokia N92, modelNumber, N92]
  • A. N98
    N98 is the ICAO airport code assigned to Boyne City Municipal Airport, a public general aviation facility serving Boyne City, Michigan.
  • B. N98
    N98 is the Federal Aviation Administration (FAA) location identifier assigned to Boyne City Municipal Airport in Michigan, United States.
  • C. N9
    N9 is a national route in South Africa that connects several inland towns and links with major highways such as the N2.
  • D. N9
    N9 is the abbreviated designation for N9 Warfare Systems, a defense-related organization focused on the development and integration of advanced warfare technologies and capabilities.
  • E. N90
    N90 is a major French national road in the Alps that serves as a key access route to ski resorts and mountain towns in the Tarentaise Valley.
  • 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: N92
Triple: [Nokia N92, modelNumber, N92]
Generated description
N92 is a Nokia smartphone model known for its early support of mobile TV and multimedia features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N92
Target entity description: N92 is a Nokia smartphone model known for its early support of mobile TV and multimedia features.
  • A. N98
    N98 is the ICAO airport code assigned to Boyne City Municipal Airport, a public general aviation facility serving Boyne City, Michigan.
  • B. N98
    N98 is the Federal Aviation Administration (FAA) location identifier assigned to Boyne City Municipal Airport in Michigan, United States.
  • C. N9
    N9 is a national route in South Africa that connects several inland towns and links with major highways such as the N2.
  • D. N9
    N9 is the abbreviated designation for N9 Warfare Systems, a defense-related organization focused on the development and integration of advanced warfare technologies and capabilities.
  • E. N90
    N90 is a major French national road in the Alps that serves as a key access route to ski resorts and mountain towns in the Tarentaise Valley.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9311cc748190880c784f173b7f2b completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d99a7948190a3ff01e7b74aaa1e completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6eb86d1881908a326d448cf479da completed May 8, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_69fd6f6c62088190a1ecaf0995e3f112 completed May 8, 2026, 5:06 a.m.
Created at: April 10, 2026, 1:21 a.m.