Triple

T6327624
Position Surface form Disambiguated ID Type / Status
Subject EGNOS E141897 entity
Predicate similarTo P4460 FINISHED
Object MSAS E586561 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: MSAS | Statement: [EGNOS, similarTo, MSAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MSAS
Context triple: [EGNOS, similarTo, MSAS]
  • A. MSAS chosen
    MSAS (MTSAT Satellite-based Augmentation System) is Japan’s satellite-based augmentation system that enhances GPS accuracy and reliability for aviation and other navigation applications in the Asia-Pacific region.
  • B. MSA
    MSA is the standardized, literary form of Arabic used in formal writing, media, education, and official communication across the Arab world.
  • C. MSA
    MSA is a common abbreviation for a metropolitan statistical area, a region defined by the U.S. Office of Management and Budget for statistical and demographic analysis.
  • D. MSA
    MSA is the common abbreviation for the Master Settlement Agreement, a landmark 1998 legal settlement between major U.S. tobacco companies and state attorneys general that reshaped tobacco advertising and funded public health initiatives.
  • E. MSA
    MSA is the abbreviation commonly used for a Microsoft account, the unified login system for accessing Microsoft's online services and products.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e9532081908277f10ec380a486 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d3a68f881908de1d9e70e00cb02 completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:29 p.m.