Triple

T5910530
Position Surface form Disambiguated ID Type / Status
Subject London Bridge Tower E131445 entity
Predicate owner P347 FINISHED
Object Shard GP Limited E549244 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: Shard GP Limited | Statement: [London Bridge Tower, owner, Shard GP Limited]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shard GP Limited
Context triple: [London Bridge Tower, owner, Shard GP Limited]
  • A. Shard Quarter Development Limited chosen
    Shard Quarter Development Limited is the property development company responsible for planning and delivering the Shard Quarter mixed-use complex in London.
  • B. Valar Ventures
    Valar Ventures is a global venture capital firm known for backing high-growth technology startups, particularly in fintech and internet-enabled businesses outside Silicon Valley.
  • C. Shine Group
    Shine Group is a global television production and distribution company known for creating and adapting popular entertainment formats and scripted series.
  • D. Incursori Group
    The Incursori Group is an elite Italian Navy special operations unit specializing in maritime commando, sabotage, and reconnaissance missions.
  • E. Gwynnes Limited
    Gwynnes Limited was a British engineering firm best known for producing aircraft engines and pumps in the early 20th century.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037767af08190b5678cff9fd0816f completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b17375488190a3053d37712501b3 completed March 23, 2026, 3:20 a.m.
Created at: March 22, 2026, 3:59 p.m.