Triple

T14503040
Position Surface form Disambiguated ID Type / Status
Subject Nokia N72 E340192 entity
Predicate audioConnector P1374 FINISHED
Object Pop-Port E980475 NE FINISHED

How this triple was built (2 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: Pop-Port | Statement: [Nokia N72, audioConnector, Pop-Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pop-Port
Context triple: [Nokia N72, audioConnector, Pop-Port]
  • A. Pop-Port chosen
    Pop-Port is Nokia’s proprietary multi-pin connector interface used on many of its older mobile phones for data transfer, audio, and accessories.
  • B. PoP!
    PoP! is the fictional 1980s pop duo fronted by Hugh Grant’s character in the romantic comedy film "Music and Lyrics."
  • C. POP2
    POP2 is an updated iteration of the original POP programming language, offering enhanced features and refinements over its predecessor.
  • D. PoP
    PoP is the commonly used abbreviation for the Pride of Performance, a prestigious civil award bestowed by the Government of Pakistan for outstanding achievements in various fields.
  • E. Popo
    Popo is a South African politician best known for his role in the anti-apartheid movement and leadership within the African National Congress.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e0f9048190a2d266cfa4f9dfb6 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9dba1081909154362b922a2417 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.