Triple

T14631754
Position Surface form Disambiguated ID Type / Status
Subject Nokia N75 E343494 entity
Predicate modelNumber P8607 FINISHED
Object N75
The N75 is a Nokia clamshell smartphone from the mid-2000s that ran the Symbian S60 platform and offered multimedia and 3G capabilities.
 E1112500 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: N75 | Statement: [Nokia N75, modelNumber, N75]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N75
Context triple: [Nokia N75, modelNumber, N75]
  • A. N7
    N7 is the IATA airline designator assigned to Nordic Regional Airlines, a Finnish regional carrier.
  • B. N7
    N7 is a major national route in South Africa that runs roughly north–south, linking Cape Town with the Namibian border and serving as a key regional transport corridor.
  • C. N-55
    N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
  • D. N-70
    N-70 is a major national highway in Pakistan that connects parts of Punjab and Balochistan, serving as an important east–west transport route.
  • E. N-50
    N-50 is a national highway in Pakistan that serves as a key route connecting parts of Khyber Pakhtunkhwa and Balochistan, facilitating regional trade and travel.
  • 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: N75
Triple: [Nokia N75, modelNumber, N75]
Generated description
The N75 is a Nokia clamshell smartphone from the mid-2000s that ran the Symbian S60 platform and offered multimedia and 3G capabilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N75
Target entity description: The N75 is a Nokia clamshell smartphone from the mid-2000s that ran the Symbian S60 platform and offered multimedia and 3G capabilities.
  • A. N7
    N7 is the IATA airline designator assigned to Nordic Regional Airlines, a Finnish regional carrier.
  • B. N7
    N7 is a major national route in South Africa that runs roughly north–south, linking Cape Town with the Namibian border and serving as a key regional transport corridor.
  • C. N-55
    N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
  • D. N-70
    N-70 is a major national highway in Pakistan that connects parts of Punjab and Balochistan, serving as an important east–west transport route.
  • E. N-50
    N-50 is a national highway in Pakistan that serves as a key route connecting parts of Khyber Pakhtunkhwa and Balochistan, facilitating regional trade and travel.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4a912248190a3df7f821395c776 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d0514081908c2bdc4fb77b1a7a completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd8ec18b8819087da7a59f6a1fdb0 completed May 8, 2026, 12:37 p.m.
NED2 Entity disambiguation (via description) batch_69fdd9ed12588190988acdf68e3deb47 completed May 8, 2026, 12:41 p.m.
Created at: April 10, 2026, 1:26 a.m.