Triple

T1429669
Position Surface form Disambiguated ID Type / Status
Subject Adobe Lightroom E30414 entity
Predicate supports P516 FINISHED
Object DNG
DNG (Digital Negative) is an open, publicly documented raw image file format developed by Adobe for long-term archival and broad compatibility of digital photographs.
 E163317 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: DNG | Statement: [Adobe Lightroom, supports, DNG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DNG
Context triple: [Adobe Lightroom, supports, DNG]
  • A. DAL
    DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
  • B. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • C. DAL
    DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
  • D. DAL
    DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
  • E. DAL
    DAL is the standard three-letter abbreviation used for the NFL team the Dallas Cowboys.
  • 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: DNG
Triple: [Adobe Lightroom, supports, DNG]
Generated description
DNG (Digital Negative) is an open, publicly documented raw image file format developed by Adobe for long-term archival and broad compatibility of digital photographs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DNG
Target entity description: DNG (Digital Negative) is an open, publicly documented raw image file format developed by Adobe for long-term archival and broad compatibility of digital photographs.
  • A. DAL
    DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
  • B. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • C. DAL
    DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
  • D. DAL
    DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
  • E. DAL
    DAL is the standard three-letter abbreviation used for the NFL team the Dallas Cowboys.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4db2d7481908d241593d0e17d83 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016930ec8190ab3900d6f40c4aa0 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad01d1c01c81908917c4837ed2b393 completed March 8, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad0265f610819085a2dd293abd4812 completed March 8, 2026, 5 a.m.
Created at: March 1, 2026, 8 p.m.