Triple

T1565224
Position Surface form Disambiguated ID Type / Status
Subject SAARC Disaster Management Centre E33417 entity
Predicate abbreviation P43 FINISHED
Object SDMC
SDMC is a regional institution under SAARC that focuses on coordinating and strengthening disaster risk reduction and management efforts among South Asian countries.
 E177016 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: SDMC | Statement: [SAARC Disaster Management Centre, abbreviation, SDMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SDMC
Context triple: [SAARC Disaster Management Centre, abbreviation, SDMC]
  • A. SDC
    SDC is a dust-detecting scientific instrument aboard NASA’s New Horizons spacecraft used to study space dust in the outer solar system.
  • B. NDMC
    NDMC is the civic administrative body responsible for municipal services and infrastructure in New Delhi’s central and VIP areas.
  • C. SMDS
    SMDS is the abbreviated name for the U.S. Army Space and Missile Defense School, a training institution focused on space and missile defense operations.
  • D. DCMR
    DCMR is the official codified collection of all administrative rules and regulations issued by agencies of the District of Columbia government.
  • E. SD
    SD is the standard abbreviation for the San Diego Padres, a Major League Baseball team based in San Diego, California.
  • 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: SDMC
Triple: [SAARC Disaster Management Centre, abbreviation, SDMC]
Generated description
SDMC is a regional institution under SAARC that focuses on coordinating and strengthening disaster risk reduction and management efforts among South Asian countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SDMC
Target entity description: SDMC is a regional institution under SAARC that focuses on coordinating and strengthening disaster risk reduction and management efforts among South Asian countries.
  • A. SDC
    SDC is a dust-detecting scientific instrument aboard NASA’s New Horizons spacecraft used to study space dust in the outer solar system.
  • B. NDMC
    NDMC is the civic administrative body responsible for municipal services and infrastructure in New Delhi’s central and VIP areas.
  • C. SMDS
    SMDS is the abbreviated name for the U.S. Army Space and Missile Defense School, a training institution focused on space and missile defense operations.
  • D. DCMR
    DCMR is the official codified collection of all administrative rules and regulations issued by agencies of the District of Columbia government.
  • E. SD
    SD is the standard abbreviation for the San Diego Padres, a Major League Baseball team based in San Diego, California.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa621242188190a7e1deeada7688d8 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3719dfdc819085511f96f9f92dba completed March 8, 2026, 8:45 a.m.
NEDg Description generation batch_69ad37d59e94819085504ea25dfa8311 completed March 8, 2026, 8:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad382b126c8190a308415bd6c4264b completed March 8, 2026, 8:49 a.m.
Created at: March 4, 2026, 7:27 p.m.