Triple

T2317850
Position Surface form Disambiguated ID Type / Status
Subject Central London E51106 entity
Predicate contains P35 FINISHED
Object Lambeth E73257 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: Lambeth | Statement: [Central London, contains, Lambeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lambeth
Context triple: [Central London, contains, Lambeth]
  • A. Lambeth chosen
    Lambeth is a central London borough on the south bank of the River Thames, known for landmarks such as the London Eye and its diverse urban communities.
  • B. Southwark
    Southwark is a historic district in central London on the south bank of the River Thames, known for landmarks such as Borough Market, The Shard, and Shakespeare’s Globe.
  • C. Bermondsey
    Bermondsey is a district in southeast London known for its riverside location along the Thames, regenerated warehouse areas, and vibrant food and arts scene.
  • D. Wandsworth
    Wandsworth is a district in southwest London, England, known for its riverside location on the River Thames and its mix of residential, commercial, and green spaces.
  • E. Hammersmith
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62fa60c8190b4859ce296ea4177 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0861707ec81908f3823ac4f04d4d6 completed March 10, 2026, 8:59 p.m.
Created at: March 4, 2026, 7:49 p.m.