Triple

T6182326
Position Surface form Disambiguated ID Type / Status
Subject Mobile Security Deployments E137971 entity
Predicate hasAbbreviation P43 FINISHED
Object MSD
MSD is an abbreviation commonly used to refer to Mobile Security Deployments, specialized units or operations focused on providing mobile protective security and support.
 E573925 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: MSD | Statement: [Mobile Security Deployments, hasAbbreviation, MSD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MSD
Context triple: [Mobile Security Deployments, hasAbbreviation, MSD]
  • A. MSD
    MSD is the international trading name used by the global pharmaceutical company Merck & Co. outside the United States and Canada.
  • B. MS
    MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
  • C. MS
    MS is a postgraduate Master of Science degree typically focused on advanced study and research in scientific or technical disciplines.
  • D. MS
    MS is the official two-letter United States Postal Service abbreviation for the state of Mississippi.
  • E. MS
    MS is the station code for Chennai Egmore, one of the major railway terminals in Chennai, India.
  • 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: MSD
Triple: [Mobile Security Deployments, hasAbbreviation, MSD]
Generated description
MSD is an abbreviation commonly used to refer to Mobile Security Deployments, specialized units or operations focused on providing mobile protective security and support.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MSD
Target entity description: MSD is an abbreviation commonly used to refer to Mobile Security Deployments, specialized units or operations focused on providing mobile protective security and support.
  • A. MSD
    MSD is the international trading name used by the global pharmaceutical company Merck & Co. outside the United States and Canada.
  • B. MS
    MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
  • C. MS
    MS is a postgraduate Master of Science degree typically focused on advanced study and research in scientific or technical disciplines.
  • D. MS
    MS is the station code for Chennai Egmore, one of the major railway terminals in Chennai, India.
  • E. MS
    MS is the official two-letter United States Postal Service abbreviation for the state of Mississippi.
  • 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c060ff9e488190b79957dfaefcca54 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c30d28819095d719adc421b02d completed March 23, 2026, 1:36 p.m.
NEDg Description generation batch_69c14426f414819084bd3bafa81d6c00 completed March 23, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c144b45a148190a95095d7141ddeb0 completed March 23, 2026, 1:48 p.m.
Created at: March 22, 2026, 4:19 p.m.