Triple

T16821302
Position Surface form Disambiguated ID Type / Status
Subject Shami Chakrabarti E408898 entity
Predicate educatedAt P5 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: [Shami Chakrabarti, educatedAt, LSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LSE
Context triple: [Shami Chakrabarti, educatedAt, LSE]
  • A. LSE
    LSE refers to the London Stock Exchange, one of the world’s largest and most prominent securities exchanges based in London, United Kingdom.
  • B. LSE
    LSE is the IATA airport code for La Crosse Regional Airport, a commercial airport serving La Crosse, Wisconsin, and the surrounding region.
  • C. 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.
  • D. LSE Court of Governors
    The LSE Court of Governors is a senior governing body of the London School of Economics responsible for overseeing the institution’s strategic direction and overall governance.
  • E. UCL IOE
    UCL IOE is the education-focused faculty of University College London, renowned for its research and teaching in education and social science.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e6b59c8190ad562a80e71ce54c completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb11f8708190ae762a28710e4246 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.