Triple

T16537469
Position Surface form Disambiguated ID Type / Status
Subject Nokia 1110 E401727 entity
Predicate predictiveTextSystem P83521 FINISHED
Object T9 E984919 NE FINISHED

How this triple was built (3 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: T9 | Statement: [Nokia 1110, predictiveTextSystem, T9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T9
Context triple: [Nokia 1110, predictiveTextSystem, T9]
  • A. T9
    T9 is a tram line designation used in the Lyon public transport network in France.
  • B. T9 chosen
    T9 is a predictive text input technology used on mobile phones to speed up typing by guessing words from keypress combinations.
  • C. Terminal T9
    Terminal T9 was the former designation for what is now known as Terminal 3 at Paris Charles de Gaulle Airport, serving low-cost and charter airline operations.
  • D. Telecip
    Telecip is a French film production company best known for backing the 1976 Academy Award–winning war satire "Black and White in Color."
  • E. Teclea
    Teclea is a genus of flowering plants in the citrus family Rutaceae, native to parts of Africa and known for its aromatic foliage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: predictiveTextSystem
Context triple: [Nokia 1110, predictiveTextSystem, T9]
  • A. predictionBy
    Indicates that one entity serves as the source or author of a prediction made about another entity or outcome.
  • B. predictedIn
    Indicates that something has been forecast, anticipated, or estimated to occur within or as part of a specified context, time, or situation.
  • C. predictionType
    Indicates the kind or category of prediction being made about an entity or event.
  • D. predictionAlgorithm chosen
    Indicates a relationship where an algorithm generates predictions or forecasts about outcomes based on input data or observed patterns.
  • E. textuallySystematizedBy
    Indicates that information, concepts, or data are organized, structured, or codified into a systematic textual form by a particular agent or source.
  • F. None of above.

Provenance (4 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34559ca948190a9eb810b9b3be079 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067aafee48190a0652fb4fac04a5b completed May 10, 2026, 11:10 a.m.
PD Predicate disambiguation batch_69e2969fab208190ad64164d24748c45 completed April 17, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:15 a.m.