Triple

T22136587
Position Surface form Disambiguated ID Type / Status
Subject Deen Dayal Upadhyaya Gram Jyoti Yojana E547044 entity
Predicate abbreviation P43 FINISHED
Object DDUGJY
DDUGJY is an Indian government rural electrification scheme aimed at strengthening power distribution infrastructure and ensuring reliable electricity supply in villages.
 E1522288 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: DDUGJY | Statement: [Deen Dayal Upadhyaya Gram Jyoti Yojana, abbreviation, DDUGJY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DDUGJY
Context triple: [Deen Dayal Upadhyaya Gram Jyoti Yojana, abbreviation, DDUGJY]
  • A. GDJ
    GDJ is the FAA location identifier for Granbury Regional Airport in Granbury, Texas.
  • B. DZG
    DZG is the vehicle registration code assigned to cars registered in the Bogatynia area of Poland.
  • C. QDG
    QDG is the abbreviation for the Queen's Dragoon Guards, a cavalry regiment of the British Army known for its reconnaissance role.
  • D. DGF
    DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, Germany.
  • E. ZDJ
    ZDJ is the IATA station code for Bern Hauptbahnhof, the main railway station in Bern, Switzerland.
  • 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: DDUGJY
Triple: [Deen Dayal Upadhyaya Gram Jyoti Yojana, abbreviation, DDUGJY]
Generated description
DDUGJY is an Indian government rural electrification scheme aimed at strengthening power distribution infrastructure and ensuring reliable electricity supply in villages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DDUGJY
Target entity description: DDUGJY is an Indian government rural electrification scheme aimed at strengthening power distribution infrastructure and ensuring reliable electricity supply in villages.
  • A. GDJ
    GDJ is the FAA location identifier for Granbury Regional Airport in Granbury, Texas.
  • B. DZG
    DZG is the vehicle registration code assigned to cars registered in the Bogatynia area of Poland.
  • C. QDG
    QDG is the abbreviation for the Queen's Dragoon Guards, a cavalry regiment of the British Army known for its reconnaissance role.
  • D. DGF
    DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, Germany.
  • E. ZDJ
    ZDJ is the IATA station code for Bern Hauptbahnhof, the main railway station in Bern, Switzerland.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bac764819099ba4896a161ef1c completed April 28, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96f52670819083932921a9148da8 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a9adfadc08190a1899173c557c054 completed May 18, 2026, 4:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0a9b6566908190bd92f9b13f47f665 completed May 18, 2026, 4:53 a.m.
Created at: April 16, 2026, 8:32 p.m.