Triple

T12542037
Position Surface form Disambiguated ID Type / Status
Subject Nokia 3650 E299863 entity
Predicate connectivity P14324 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 3650, connectivity, Pop-Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pop-Port
Context triple: [Nokia 3650, connectivity, 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. Popo
    Popo is a South African politician best known for his role in the anti-apartheid movement and leadership within the African National Congress.
  • E. Popti’
    Popti’ is a Mayan language spoken primarily by the Jakaltek people in the highlands of Guatemala and parts of Mexico.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9547d6df4819080db8415d386ed38 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557e6d4c81909ed54a039e92a160 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.