Triple

T8537879
Position Surface form Disambiguated ID Type / Status
Subject Electric Daisy Carnival E202122 entity
Predicate shortName P43 FINISHED
Object EDC
EDC is a massive electronic dance music festival known for its elaborate stages, immersive art installations, and carnival-like atmosphere.
E740954 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: EDC | Statement: [Electric Daisy Carnival, shortName, EDC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDC
Context triple: [Electric Daisy Carnival, shortName, EDC]
  • A. EDDC
    EDDC is the ICAO airport code for Dresden Airport, an international airport serving the city of Dresden in eastern Germany.
  • B. EDD
    EDD is the California state agency responsible for administering unemployment insurance, disability insurance, paid family leave, and various workforce and labor market programs.
  • C. EDD
    EDD is the National Rail station code for Eddington railway station in the United Kingdom.
  • D. EDDS
    EDDS is the ICAO airport code designating Stuttgart Airport in Germany.
  • E. EDV
    EDV is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • 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: EDC
Triple: [Electric Daisy Carnival, shortName, EDC]
Generated description
EDC is a massive electronic dance music festival known for its elaborate stages, immersive art installations, and carnival-like atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EDC
Target entity description: EDC is a massive electronic dance music festival known for its elaborate stages, immersive art installations, and carnival-like atmosphere.
  • A. EDDC
    EDDC is the ICAO airport code for Dresden Airport, an international airport serving the city of Dresden in eastern Germany.
  • B. EDD
    EDD is the California state agency responsible for administering unemployment insurance, disability insurance, paid family leave, and various workforce and labor market programs.
  • C. EDD
    EDD is the National Rail station code for Eddington railway station in the United Kingdom.
  • D. EDDS
    EDDS is the ICAO airport code designating Stuttgart Airport in Germany.
  • E. EDV
    EDV is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a5c2848190836c612597de83b7 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d953fd0819094958d2b5a5a8e13 completed April 2, 2026, 1:22 p.m.
NEDg Description generation batch_69ce6ec2d6608190a7732e999a05d565 completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f7948cc8190b8248e59044cf4fb completed April 2, 2026, 1:30 p.m.
Created at: March 30, 2026, 6:18 p.m.