Triple

T1509982
Position Surface form Disambiguated ID Type / Status
Subject Dibrugarh Airport E33991 entity
Predicate IATAcode P418 FINISHED
Object DIB
DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
E173224 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: DIB | Statement: [Dibrugarh Airport, IATAcode, DIB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DIB
Context triple: [Dibrugarh Airport, IATAcode, DIB]
  • A. BMP
    BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
  • B. 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.
  • C. DAL
    DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
  • D. DAL
    DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
  • E. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • 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: DIB
Triple: [Dibrugarh Airport, IATAcode, DIB]
Generated description
DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DIB
Target entity description: DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
  • A. BMP
    BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
  • B. 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.
  • C. DAL
    DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
  • D. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • E. DAL
    DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8891e9da881909d0b12f1bc05863f completed March 4, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad233c254c8190b52b34526c9cb3cb completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad242d20448190a27ff7414d9cff21 completed March 8, 2026, 7:24 a.m.
NED2 Entity disambiguation (via description) batch_69ad24e6e9688190a20c67c181936e98 completed March 8, 2026, 7:27 a.m.
Created at: March 4, 2026, 7:24 p.m.