Triple

T5566530
Position Surface form Disambiguated ID Type / Status
Subject Sarvottam Yudh Seva Medal E145892 entity
Predicate postNominalLetters P1600 FINISHED
Object SYSM E533097 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: SYSM | Statement: [Sarvottam Yudh Seva Medal, postNominalLetters, SYSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SYSM
Context triple: [Sarvottam Yudh Seva Medal, postNominalLetters, SYSM]
  • A. SYSM chosen
    SYSM is a prestigious Indian military decoration awarded for the highest degree of distinguished service during wartime, used as post-nominal letters by its recipients.
  • B. System M
    System M is the analog television broadcasting system used in NTSC countries, characterized by 525 lines per frame and a 60 Hz field rate.
  • C. Sistema
    Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
  • D. System1
    System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
  • E. System
    System is a core .NET namespace that provides fundamental classes and base types essential for building .NET applications.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02034fc3081908920c52a19d462e1 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d125e808190b0360da35d514920 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:36 p.m.