Triple

T14062353
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Meteorological Department E338376 entity
Predicate shortName P43 FINISHED
Object PMD
PMD is Pakistan’s national meteorological agency responsible for weather forecasting, climate monitoring, and related atmospheric services.
 E1077596 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: PMD | Statement: [Pakistan Meteorological Department, shortName, PMD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PMD
Context triple: [Pakistan Meteorological Department, shortName, PMD]
  • A. PMD
    PMD is the IATA airport code for Palmdale Regional Airport in Palmdale, California, United States.
  • B. PMDU
    PMDU is the abbreviation for the Prime Minister's Delivery Unit, a government body responsible for monitoring and improving the implementation of key policy priorities.
  • C. PMB
    PMB is the abbreviation for Pure Michigan Byway, a designation for particularly scenic or culturally significant roads in the state of Michigan.
  • D. PMC
    PMC is the abbreviation for the Philippine Marine Corps, the naval infantry and amphibious warfare branch of the Armed Forces of the Philippines.
  • E. PMC
    PMC is the widely used abbreviation for PubMed Central, a free digital archive of biomedical and life sciences journal literature maintained by the U.S. National Institutes of Health.
  • 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: PMD
Triple: [Pakistan Meteorological Department, shortName, PMD]
Generated description
PMD is Pakistan’s national meteorological agency responsible for weather forecasting, climate monitoring, and related atmospheric services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PMD
Target entity description: PMD is Pakistan’s national meteorological agency responsible for weather forecasting, climate monitoring, and related atmospheric services.
  • A. PMD
    PMD is the IATA airport code for Palmdale Regional Airport in Palmdale, California, United States.
  • B. PMDU
    PMDU is the abbreviation for the Prime Minister's Delivery Unit, a government body responsible for monitoring and improving the implementation of key policy priorities.
  • C. PMB
    PMB is the abbreviation for Pure Michigan Byway, a designation for particularly scenic or culturally significant roads in the state of Michigan.
  • D. PMC
    PMC is the abbreviation for the Philippine Marine Corps, the naval infantry and amphibious warfare branch of the Armed Forces of the Philippines.
  • E. PMC
    PMC is the IATA airport code for El Tepual International Airport serving Puerto Montt in southern Chile.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568876308190840361dcaf10bd45 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6673de881909653c7691422b800 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc3b8aea881909b11a4671314810e completed May 7, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69fcc450fea881909e3b5bbd96469a8b completed May 7, 2026, 4:56 p.m.
Created at: April 9, 2026, 10:21 p.m.