Triple

T145688
Position Surface form Disambiguated ID Type / Status
Subject Association of MBAs E3324 entity
Predicate shortName P43 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: [Association of MBAs, shortName, AMBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMBA
Context triple: [Association of MBAs, shortName, 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. ARM
    ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
  • C. AMX
    AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
  • D. ASM
    ASM is the three-letter ISO 3166-1 alpha-3 country code assigned to American Samoa, an unincorporated territory of the United States in the South Pacific Ocean.
  • E. ASM
    ASM is a leading professional organization dedicated to advancing the microbial sciences through research, education, and advocacy.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a257ea7eac8190884a53453a9e0dd6 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2bf69fd2081908df35ea5ade4307c completed Feb. 28, 2026, 10:11 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.