Triple

T5802795
Position Surface form Disambiguated ID Type / Status
Subject Peacekeeping Environmental Management Unit E128666 entity
Predicate abbreviation P43 FINISHED
Object PEMU
PEMU is a specialized unit focused on managing and mitigating environmental impacts associated with peacekeeping operations.
 E548534 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: PEMU | Statement: [Peacekeeping Environmental Management Unit, abbreviation, PEMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEMU
Context triple: [Peacekeeping Environmental Management Unit, abbreviation, PEMU]
  • A. PUM
    PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
  • B. PUST
    PUST is the Pontifical University of St. Thomas Aquinas in Rome, a major Catholic institution of higher education specializing in philosophy and theology.
  • C. PUS
    PUS is the IATA airport code for Gimhae International Airport serving the Busan metropolitan area in South Korea.
  • D. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • E. PNE
    PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
  • 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: PEMU
Triple: [Peacekeeping Environmental Management Unit, abbreviation, PEMU]
Generated description
PEMU is a specialized unit focused on managing and mitigating environmental impacts associated with peacekeeping operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PEMU
Target entity description: PEMU is a specialized unit focused on managing and mitigating environmental impacts associated with peacekeeping operations.
  • A. PUM
    PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
  • B. PUST
    PUST is the Pontifical University of St. Thomas Aquinas in Rome, a major Catholic institution of higher education specializing in philosophy and theology.
  • C. PUS
    PUS is the IATA airport code for Gimhae International Airport serving the Busan metropolitan area in South Korea.
  • D. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • E. PNE
    PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
  • 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02ad11cf0819094d8f9e4aaf099a2 completed March 22, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09833017c81908da09127e8455cb6 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c09a38077081909873a9f43f578d36 completed March 23, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_69c09aad318c81909420fa544676ce72 completed March 23, 2026, 1:43 a.m.
Created at: March 22, 2026, 3:52 p.m.