Triple

T333028
Position Surface form Disambiguated ID Type / Status
Subject London Stock Exchange E6664 entity
Predicate abbreviation P43 FINISHED
Object LSE E30910 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: LSE | Statement: [London Stock Exchange, abbreviation, LSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LSE
Context triple: [London Stock Exchange, abbreviation, LSE]
  • A. London School of Economics chosen
    The London School of Economics is a prestigious London-based university renowned worldwide for its teaching and research in economics, politics, law, and the social sciences.
  • B. Lancaster University
    Lancaster University is a public research university in Lancashire, England, known for its strong research output, collegiate system, and consistently high rankings in UK and global league tables.
  • C. University College London
    University College London is a major public research university in London renowned for its multidisciplinary teaching, pioneering research, and global academic influence.
  • D. King’s College London
    King’s College London is a major public research university in London, England, renowned for its contributions to fields such as medicine, law, and the humanities.
  • E. University of Queen Mary London
    The University of Queen Mary London is a major public research university in London renowned for its strong academic programs and membership in the prestigious Russell Group of leading UK universities.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac4d9d081908a624464e450fb0e completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3e0139e108190b2978216a4bc0a3e completed March 1, 2026, 6:43 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.