Triple

T6848575
Position Surface form Disambiguated ID Type / Status
Subject ESSEC Business School E157956 entity
Predicate accreditation P117 FINISHED
Object AMBA E3324 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: AMBA | Statement: [ESSEC Business School, accreditation, AMBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMBA
Context triple: [ESSEC Business School, accreditation, AMBA]
  • A. AMBA chosen
    AMBA (the Association of MBAs) is a leading international accreditation body that evaluates and endorses the quality of postgraduate business education programs worldwide.
  • B. Multibus
    Multibus is an early Intel-developed computer bus standard widely used in 1980s workstations and embedded systems for modular expansion and peripheral connectivity.
  • C. ARM
    ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
  • D. ARM
    ARM is the three-letter International Olympic Committee country code representing Armenia in the Olympic Games.
  • E. AMB
    AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7ce3e7481908e0472b8faafa473 completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fcdf3888190b95b2ce10964793b completed March 28, 2026, 1:33 a.m.
Created at: March 27, 2026, 2:20 p.m.