Triple

T11379663
Position Surface form Disambiguated ID Type / Status
Subject Oxford Circus E269559 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Liberty London E317856 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: Liberty London | Statement: [Oxford Circus, hasNearbyLandmark, Liberty London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liberty London
Context triple: [Oxford Circus, hasNearbyLandmark, Liberty London]
  • A. Liberty & Co. chosen
    Liberty & Co. is a historic London-based department store and design firm renowned for its influential role in popularizing Art Nouveau style in Britain and abroad.
  • B. Meyer London
    Meyer London was an early 20th-century American socialist politician and labor lawyer who served in the U.S. House of Representatives as one of the few Socialists ever elected to Congress.
  • C. Yardley London
    Yardley London is a historic British personal care brand best known for its classic fragrances, soaps, and talcum powders.
  • D. Liberty International
    Liberty International was a major UK-based property investment and development company that later became known as Intu Properties.
  • E. Lauder
    Lauder is a small historic town in the Scottish Borders, known for its rural setting and nearby Thirlestane Castle.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc30f5d48190bb273df4c9e583a9 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a10f988190b173dc4880a8c6c6 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:34 p.m.