Triple

T6156713
Position Surface form Disambiguated ID Type / Status
Subject United Nations Security Management System E137339 entity
Predicate abbreviation P43 FINISHED
Object UNSMS
UNSMS is the unified framework that governs safety and security management for United Nations personnel, premises, and operations worldwide.
 E573443 NE FINISHED

How this triple was built (4 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: UNSMS | Statement: [United Nations Security Management System, abbreviation, UNSMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UNSMS
Context triple: [United Nations Security Management System, abbreviation, UNSMS]
  • A. UMS
    UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
  • B. UMS
    UMS is a public university system in the U.S. state of Missouri that oversees multiple campuses, including the University of Missouri in Columbia.
  • C. UNIS
    UNIS is a Norwegian higher education and research institution located in Longyearbyen, Svalbard, specializing in Arctic studies and polar research.
  • D. UNÎMES
    UNÎMES is the acronym for the University of Nîmes, a French public higher education and research institution located in Nîmes, in the Occitanie region.
  • E. USMIA
    USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UNSMS
Triple: [United Nations Security Management System, abbreviation, UNSMS]
Generated description
UNSMS is the unified framework that governs safety and security management for United Nations personnel, premises, and operations worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UNSMS
Target entity description: UNSMS is the unified framework that governs safety and security management for United Nations personnel, premises, and operations worldwide.
  • A. UMS
    UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
  • B. UMS
    UMS is a public university system in the U.S. state of Missouri that oversees multiple campuses, including the University of Missouri in Columbia.
  • C. UNIS
    UNIS is a Norwegian higher education and research institution located in Longyearbyen, Svalbard, specializing in Arctic studies and polar research.
  • D. UNÎMES
    UNÎMES is the acronym for the University of Nîmes, a French public higher education and research institution located in Nîmes, in the Occitanie region.
  • E. USMIA
    USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
  • F. None of above. chosen

Provenance (5 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d0376408190a2233375f478377e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141867fac819093a3093aa8251eac completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c14794c3488190874b0a4d2c00514d completed March 23, 2026, 2 p.m.
NED2 Entity disambiguation (via description) batch_69c1480b10f08190891bfc8488bbaf16 completed March 23, 2026, 2:02 p.m.
Created at: March 22, 2026, 4:17 p.m.