Triple

T11657699
Position Surface form Disambiguated ID Type / Status
Subject Series 80 E277050 entity
Predicate relatedPlatform P17735 FINISHED
Object Series 60 E277053 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: Series 60 | Statement: [Series 80, relatedPlatform, Series 60]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Series 60
Context triple: [Series 80, relatedPlatform, Series 60]
  • A. Series 60 chosen
    Series 60 is a mobile phone software platform and user interface developed by Nokia for its Symbian-based smartphones.
  • B. S60
    S60 is a Symbian-based mobile software platform and user interface used primarily on Nokia smartphones in the 2000s.
  • C. S60
    S60 is a commuter rail line within the Stuttgart S-Bahn network in Germany, providing regional passenger service between suburban areas and the city.
  • D. Series 40
    Series 40 is Nokia’s proprietary mobile operating system and software platform used on its feature phones, known for its widespread adoption in mid-range handsets before the smartphone era.
  • E. Nokia 6000 series
    The Nokia 6000 series is a line of mid- to high-end mobile phones known for their classic candybar designs, durable build quality, and business-oriented features that were popular in the early 2000s.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d0331481909682b2e504e4c9a0 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82ce2904819094cf5be87fb14fca completed April 27, 2026, 3:37 p.m.
Created at: April 8, 2026, 9:39 p.m.