Triple

T8923814
Position Surface form Disambiguated ID Type / Status
Subject NATO International Military Staff E212490 entity
Predicate abbreviation P43 FINISHED
Object IMS E212490 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: IMS | Statement: [NATO International Military Staff, abbreviation, IMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IMS
Context triple: [NATO International Military Staff, abbreviation, IMS]
  • A. IMS
    IMS (IP Multimedia Subsystem) is a standardized architectural framework for delivering IP-based multimedia services over mobile and fixed networks.
  • B. IMS
    IMS is a leading biomedical research institute focused on understanding metabolic diseases such as obesity and diabetes.
  • C. IMS chosen
    IMS is the NATO International Military Staff, the body that provides strategic military advice and support to NATO’s decision-making structures.
  • D. IMS
    IMS is the IEEE MTT-S International Microwave Symposium, a leading annual conference and exhibition focused on microwave theory, techniques, and technologies.
  • E. IMS
    IMS is IBM's hierarchical database and transaction management system widely used on mainframe platforms for high-volume, mission-critical 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6652d63881908821c8735984322a completed April 1, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba5480d48190bf126caaa882d39e completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:56 p.m.