Triple

T15412377
Position Surface form Disambiguated ID Type / Status
Subject Neusiedlersee E368624 entity
Predicate regulatoryStatus P2250 FINISHED
Object DAC
DAC (Districtus Austriae Controllatus) is Austria’s designation for high-quality, region-typical wines produced under strict geographic and production regulations.
 E1156902 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: DAC | Statement: [Neusiedlersee, regulatoryStatus, DAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DAC
Context triple: [Neusiedlersee, regulatoryStatus, DAC]
  • A. DAC
    DAC is the three-letter IATA airport code for Hazrat Shahjalal International Airport serving Dhaka, Bangladesh.
  • B. ADC
    ADC is a former U.S. federal assistance program that provided financial support to low-income families with dependent children.
  • C. ADC
    ADC is a renowned student-run theatre in Cambridge, England, known for hosting a wide range of amateur and university theatrical productions.
  • D. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • E. DA
    DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
  • 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: DAC
Triple: [Neusiedlersee, regulatoryStatus, DAC]
Generated description
DAC (Districtus Austriae Controllatus) is Austria’s designation for high-quality, region-typical wines produced under strict geographic and production regulations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DAC
Target entity description: DAC (Districtus Austriae Controllatus) is Austria’s designation for high-quality, region-typical wines produced under strict geographic and production regulations.
  • A. DAC
    DAC is the three-letter IATA airport code for Hazrat Shahjalal International Airport serving Dhaka, Bangladesh.
  • B. ADC
    ADC is a former U.S. federal assistance program that provided financial support to low-income families with dependent children.
  • C. ADC
    ADC is a renowned student-run theatre in Cambridge, England, known for hosting a wide range of amateur and university theatrical productions.
  • D. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • E. DA
    DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea600b48190a3dbca1a68a2a1cd completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a754d1881909ed322479bab460d completed May 9, 2026, 11:28 a.m.
NEDg Description generation batch_69ff1b82a5e08190a906828a08c9ae93 completed May 9, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_69ff1f60e5888190a0271c9d55c5e3d8 completed May 9, 2026, 11:49 a.m.
Created at: April 10, 2026, 3:20 a.m.