Triple

T4739206
Position Surface form Disambiguated ID Type / Status
Subject Schibsted E105196 entity
Predicate formerName P65 FINISHED
Object Schibsted ASA E105196 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: Schibsted ASA | Statement: [Schibsted, formerName, Schibsted ASA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schibsted ASA
Context triple: [Schibsted, formerName, Schibsted ASA]
  • A. Schibsted chosen
    Schibsted is a Norwegian media and online marketplace group that owns numerous newspapers, digital platforms, and classified services across the Nordic region and beyond.
  • B. Sanoma
    Sanoma is a major Finnish media and learning company known for its newspapers, magazines, digital media, and educational publishing across Europe.
  • C. Egmont Group
    Egmont Group is an international network of national financial intelligence units that collaborate to combat money laundering, terrorist financing, and other financial crimes.
  • D. Altaba Inc.
    Altaba Inc. was a publicly traded investment company formed from the remnants of Yahoo! Inc. after the sale of its core internet business to Verizon, primarily holding stakes in Alibaba Group and Yahoo! Japan.
  • E. RTL Group
    RTL Group is a leading European entertainment company and broadcaster, operating numerous television channels, radio stations, and digital platforms across multiple countries.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6485d690819098dc4a974516da6b completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10b8e7ec81908cc1ec9b94a6bee4 completed March 21, 2026, 3:30 a.m.
Created at: March 20, 2026, 1:19 p.m.