Triple

T18845390
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Petroleum and Natural Gas (India) E460899 entity
Predicate abbreviation P43 FINISHED
Object MoPNG
MoPNG is the Indian government ministry responsible for overseeing the exploration, production, refining, distribution, and marketing of petroleum and natural gas in India.
E1346315 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: MoPNG | Statement: [Ministry of Petroleum and Natural Gas (India), abbreviation, MoPNG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MoPNG
Context triple: [Ministry of Petroleum and Natural Gas (India), abbreviation, MoPNG]
  • A. PNG
    PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
  • B. PNG
    PNG (Portable Network Graphics) is a widely used raster image format known for its lossless compression and support for transparency, commonly used for web graphics and digital images.
  • C. GIF
    GIF (Graphics Interchange Format) is a widely used bitmap image format best known for supporting simple animations and lossless compression with a limited color palette.
  • D. MPIMG
    MPIMG is a leading research institute of the Max Planck Society focused on advancing molecular genetics and genomics.
  • E. Lottie
    Lottie is a common diminutive given name, typically used as a nickname for Charlotte.
  • 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: MoPNG
Triple: [Ministry of Petroleum and Natural Gas (India), abbreviation, MoPNG]
Generated description
MoPNG is the Indian government ministry responsible for overseeing the exploration, production, refining, distribution, and marketing of petroleum and natural gas in India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MoPNG
Target entity description: MoPNG is the Indian government ministry responsible for overseeing the exploration, production, refining, distribution, and marketing of petroleum and natural gas in India.
  • A. PNG
    PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
  • B. PNG
    PNG (Portable Network Graphics) is a widely used raster image format known for its lossless compression and support for transparency, commonly used for web graphics and digital images.
  • C. GIF
    GIF (Graphics Interchange Format) is a widely used bitmap image format best known for supporting simple animations and lossless compression with a limited color palette.
  • D. MPIMG
    MPIMG is a leading research institute of the Max Planck Society focused on advancing molecular genetics and genomics.
  • E. Lottie
    Lottie is a common diminutive given name, typically used as a nickname for Charlotte.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8ed944c81908592f0c34e5727a0 completed April 20, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a056771ae7481909f8ae1ea8a00f559 completed May 14, 2026, 6:10 a.m.
NEDg Description generation batch_6a056f5d7c68819095e8dc260e15a9d9 completed May 14, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_6a056fddc2f88190b1e57896292fe6af completed May 14, 2026, 6:46 a.m.
Created at: April 10, 2026, 11:56 a.m.