Triple

T6163951
Position Surface form Disambiguated ID Type / Status
Subject Dhaka Metro Rail E137510 entity
Predicate abbreviation P43 FINISHED
Object DMR
DMR is the commonly used abbreviation for the Dhaka Metro Rail, the rapid transit system serving Bangladesh’s capital city.
E573587 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: [Dhaka Metro Rail, abbreviation, DMR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DMR
Context triple: [Dhaka Metro Rail, abbreviation, DMR]
  • A. DCMR
    DCMR is the official codified collection of all administrative rules and regulations issued by agencies of the District of Columbia government.
  • B. 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.
  • C. DME
    DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • D. 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.
  • E. D.C.M.R.
    D.C.M.R. is the standard legal citation abbreviation for the District of Columbia Municipal Regulations, the codified administrative rules governing Washington, D.C.
  • 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: [Dhaka Metro Rail, abbreviation, DMR]
Generated description
DMR is the commonly used abbreviation for the Dhaka Metro Rail, the rapid transit system serving Bangladesh’s capital city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DMR
Target entity description: DMR is the commonly used abbreviation for the Dhaka Metro Rail, the rapid transit system serving Bangladesh’s capital city.
  • A. DCMR
    DCMR is the official codified collection of all administrative rules and regulations issued by agencies of the District of Columbia government.
  • B. 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.
  • C. DME
    DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • D. 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.
  • E. D.C.M.R.
    D.C.M.R. is the standard legal citation abbreviation for the District of Columbia Municipal Regulations, the codified administrative rules governing Washington, D.C.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d6036f88190a4bf540e7fe8d48d completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1419e7f0481908b7ce6f36871f1ad completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c14855288881909b842db040fe5c54 completed March 23, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69c148d16c048190a473e8f49df43705 completed March 23, 2026, 2:06 p.m.
Created at: March 22, 2026, 4:17 p.m.