Triple

T12969609
Position Surface form Disambiguated ID Type / Status
Subject Nokia E70 E321357 entity
Predicate connectorType 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 E70, connectorType, Pop-Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pop-Port
Context triple: [Nokia E70, connectorType, 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e6b31c8190b09276003f284f25 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:34 p.m.