Triple

T1212012
Position Surface form Disambiguated ID Type / Status
Subject Dhaka E26021 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object DHA
DHA is the vehicle registration code used on motor vehicles registered in Dhaka, the capital city of Bangladesh.
 E137506 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: DHA | Statement: [Dhaka, vehicleRegistrationCode, DHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DHA
Context triple: [Dhaka, vehicleRegistrationCode, DHA]
  • A. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • B. Fibra Uno
    Fibra Uno is a major Mexican real estate investment trust (FIBRA) that owns and operates a large portfolio of commercial properties across Mexico.
  • C. DPPA
    DPPA is the United Nations department responsible for conflict prevention, peacemaking, and supporting political and peacebuilding efforts worldwide.
  • D. Corachol
    Corachol is a subfamily of Uto-Aztecan languages that includes closely related indigenous languages spoken in western Mexico.
  • E. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • 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: DHA
Triple: [Dhaka, vehicleRegistrationCode, DHA]
Generated description
DHA is the vehicle registration code used on motor vehicles registered in Dhaka, the capital city of Bangladesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DHA
Target entity description: DHA is the vehicle registration code used on motor vehicles registered in Dhaka, the capital city of Bangladesh.
  • A. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • B. Fibra Uno
    Fibra Uno is a major Mexican real estate investment trust (FIBRA) that owns and operates a large portfolio of commercial properties across Mexico.
  • C. DPPA
    DPPA is the United Nations department responsible for conflict prevention, peacemaking, and supporting political and peacebuilding efforts worldwide.
  • D. Corachol
    Corachol is a subfamily of Uto-Aztecan languages that includes closely related indigenous languages spoken in western Mexico.
  • E. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bde581308190bbe30683bf6c48c3 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f43a12c8190a1ba90eefafd6bbc completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7fbadd08819090ef4a9aff3bef0b completed March 7, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac8022a6b08190ba6a1448cebe6017 completed March 7, 2026, 7:44 p.m.
Created at: March 1, 2026, 7:46 p.m.