Triple

T9744666
Position Surface form Disambiguated ID Type / Status
Subject COBE Differential Microwave Radiometer E236276 entity
Predicate abbreviation P43 FINISHED
Object DMR
DMR is a scientific instrument aboard the COBE satellite designed to measure tiny variations in the cosmic microwave background radiation across the sky.
 E817841 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: DMR | Statement: [COBE Differential Microwave Radiometer, abbreviation, DMR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DMR
Context triple: [COBE Differential Microwave Radiometer, abbreviation, DMR]
  • A. DMR
    DMR is the commonly used abbreviation for the Dhaka Metro Rail, the rapid transit system serving Bangladesh’s capital city.
  • B. DCMR
    DCMR is the official codified collection of all administrative rules and regulations issued by agencies of the District of Columbia government.
  • C. DME
    DME is a radio navigation system used in aviation to provide pilots with precise distance information from an aircraft to a ground-based station.
  • D. DME
    DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • E. DME
    DME is a high-speed expressway in northern India that connects Delhi with the city of Meerut to reduce travel time and ease regional traffic congestion.
  • 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: DMR
Triple: [COBE Differential Microwave Radiometer, abbreviation, DMR]
Generated description
DMR is a scientific instrument aboard the COBE satellite designed to measure tiny variations in the cosmic microwave background radiation across the sky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DMR
Target entity description: DMR is a scientific instrument aboard the COBE satellite designed to measure tiny variations in the cosmic microwave background radiation across the sky.
  • A. DMR
    DMR is the commonly used abbreviation for the Dhaka Metro Rail, the rapid transit system serving Bangladesh’s capital city.
  • B. DCMR
    DCMR is the official codified collection of all administrative rules and regulations issued by agencies of the District of Columbia government.
  • C. DME
    DME is a radio navigation system used in aviation to provide pilots with precise distance information from an aircraft to a ground-based station.
  • D. DME
    DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • E. DME
    DME is a high-speed expressway in northern India that connects Delhi with the city of Meerut to reduce travel time and ease regional traffic congestion.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2f8e648190ad94c940f9dc1de0 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1affb761881908dde9a4f028c32f6 completed April 5, 2026, 12:42 a.m.
NEDg Description generation batch_69d1b0f7a68481909de080dd78f883a8 completed April 5, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1b17bd97c8190b77815db5a6a70d9 completed April 5, 2026, 12:49 a.m.
Created at: March 30, 2026, 8:23 p.m.