Triple

T2437532
Position Surface form Disambiguated ID Type / Status
Subject Lycée Hoche E53194 entity
Predicate preparesFor P2534 FINISHED
Object HEC Paris E117497 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: HEC Paris | Statement: [Lycée Hoche, preparesFor, HEC Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HEC Paris
Context triple: [Lycée Hoche, preparesFor, HEC Paris]
  • A. HEC Paris chosen
    HEC Paris is a prestigious French business school renowned for its elite management education, influential alumni network, and leading role in European and global business education.
  • B. ESSEC Business School
    ESSEC Business School is a leading French grande école and international business school renowned for its elite management programs and strong ties to the corporate world.
  • C. INSEAD
    INSEAD is a leading global business school renowned for its international MBA and executive education programs, with campuses in Europe, Asia, the Middle East, and North America.
  • D. HEC Montréal
    HEC Montréal is a leading French-language business school in Montreal, Canada, renowned for its management education and research.
  • E. IESE Business School
    IESE Business School is a leading global graduate business school based in Barcelona, Spain, renowned for its MBA and executive education programs and its affiliation with the University of Navarra.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f4d2dc8190b3c264a6c20d1bd5 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf7085b88190938c4eefa4380970 completed March 9, 2026, 12:39 p.m.
Created at: March 6, 2026, 9:43 p.m.