Triple

T8620395
Position Surface form Disambiguated ID Type / Status
Subject Delhi Jal Board E204148 entity
Predicate abbreviation P43 FINISHED
Object DJB
DJB is the government agency responsible for water supply and sewage management in Delhi, India.
 E746825 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: DJB | Statement: [Delhi Jal Board, abbreviation, DJB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DJB
Context triple: [Delhi Jal Board, abbreviation, DJB]
  • A. BDB
    BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
  • B. DBY
    DBY is the National Rail station code for Derby railway station, a major rail hub in Derby, England.
  • C. DBP
    DBP is Malaysia’s national language and literature agency responsible for developing, standardizing, and promoting the Malay language and its literary heritage.
  • D. DB1
    DB1 is the stock ticker symbol for Deutsche Börse AG, a major German exchange organization that operates the Frankfurt Stock Exchange and related financial market infrastructure.
  • E. D. B.
    D. B. is the older brother of Holden Caulfield in J. D. Salinger’s novel "The Catcher in the Rye," portrayed as a writer who has moved to Hollywood.
  • 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: DJB
Triple: [Delhi Jal Board, abbreviation, DJB]
Generated description
DJB is the government agency responsible for water supply and sewage management in Delhi, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DJB
Target entity description: DJB is the government agency responsible for water supply and sewage management in Delhi, India.
  • A. BDB
    BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
  • B. DBY
    DBY is the National Rail station code for Derby railway station, a major rail hub in Derby, England.
  • C. DBP
    DBP is Malaysia’s national language and literature agency responsible for developing, standardizing, and promoting the Malay language and its literary heritage.
  • D. DB1
    DB1 is the stock ticker symbol for Deutsche Börse AG, a major German exchange organization that operates the Frankfurt Stock Exchange and related financial market infrastructure.
  • E. D. B.
    D. B. is the older brother of Holden Caulfield in J. D. Salinger’s novel "The Catcher in the Rye," portrayed as a writer who has moved to Hollywood.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc47167b188190b5d9a113db9b9511 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbd49cc8819093555edf5ff0acaa completed April 2, 2026, 6:56 p.m.
NEDg Description generation batch_69cebcc22d208190801b4ec58614dfcb completed April 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69cebdf3f288819088d83165c741d092 completed April 2, 2026, 7:05 p.m.
Created at: March 30, 2026, 6:26 p.m.