Triple

T14814412
Position Surface form Disambiguated ID Type / Status
Subject Nokia N80 E348272 entity
Predicate codename P2980 FINISHED
Object N80
N80 is a Nokia smartphone from the mid-2000s known for its sliding design, advanced multimedia features, and early support for 3G connectivity.
E1120496 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: N80 | Statement: [Nokia N80, codename, N80]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N80
Context triple: [Nokia N80, codename, N80]
  • A. N806
    N806 is a regional road in the Netherlands that provides access to and from the town of Bunschoten.
  • B. N8
    N8 is a designated national highway route, commonly used to identify a major intercity road in certain countries’ transportation networks.
  • C. N98
    N98 is the ICAO airport code assigned to Boyne City Municipal Airport, a public general aviation facility serving Boyne City, Michigan.
  • D. N98
    N98 is the Federal Aviation Administration (FAA) location identifier assigned to Boyne City Municipal Airport in Michigan, United States.
  • E. N84
    N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
  • 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: N80
Triple: [Nokia N80, codename, N80]
Generated description
N80 is a Nokia smartphone from the mid-2000s known for its sliding design, advanced multimedia features, and early support for 3G connectivity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N80
Target entity description: N80 is a Nokia smartphone from the mid-2000s known for its sliding design, advanced multimedia features, and early support for 3G connectivity.
  • A. N806
    N806 is a regional road in the Netherlands that provides access to and from the town of Bunschoten.
  • B. N8
    N8 is a designated national highway route, commonly used to identify a major intercity road in certain countries’ transportation networks.
  • C. N98
    N98 is the ICAO airport code assigned to Boyne City Municipal Airport, a public general aviation facility serving Boyne City, Michigan.
  • D. N98
    N98 is the Federal Aviation Administration (FAA) location identifier assigned to Boyne City Municipal Airport in Michigan, United States.
  • E. N84
    N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe0e89c81908c0e1fe2bc3ebcfc completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24cca0b88190b20a6c7dd77b8146 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe291c69fc8190b29d6d2ca89ce6ec completed May 8, 2026, 6:19 p.m.
NED2 Entity disambiguation (via description) batch_69fe29a093d0819092ae65dc66a3c190 completed May 8, 2026, 6:21 p.m.
Created at: April 10, 2026, 1:48 a.m.