Triple

T12857154
Position Surface form Disambiguated ID Type / Status
Subject Gottlieb Duttweiler Institute E307485 entity
Predicate hosts P186 FINISHED
Object GDI Trend Day
GDI Trend Day is an annual conference organized by the Gottlieb Duttweiler Institute that explores emerging trends and future developments in business, society, and consumer behavior.
 E1006137 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: GDI Trend Day | Statement: [Gottlieb Duttweiler Institute, hosts, GDI Trend Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GDI Trend Day
Context triple: [Gottlieb Duttweiler Institute, hosts, GDI Trend Day]
  • A. Trendline
    Trendline is the basic entry-level equipment and features package offered on the Volkswagen Passat B7.
  • B. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • C. GDT
    GDT is the IATA airport code for JAGS McCartney International Airport, which serves Grand Turk Island in the Turks and Caicos Islands.
  • D. GDI
    GDI is a composite index used by the United Nations to measure gender-based disparities in human development outcomes such as health, education, and income.
  • E. TRND
    TRND is a National Institutes of Health program that accelerates the development of treatments for rare and neglected diseases by bridging the gap between basic research and clinical application.
  • 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: GDI Trend Day
Triple: [Gottlieb Duttweiler Institute, hosts, GDI Trend Day]
Generated description
GDI Trend Day is an annual conference organized by the Gottlieb Duttweiler Institute that explores emerging trends and future developments in business, society, and consumer behavior.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GDI Trend Day
Target entity description: GDI Trend Day is an annual conference organized by the Gottlieb Duttweiler Institute that explores emerging trends and future developments in business, society, and consumer behavior.
  • A. Trendline
    Trendline is the basic entry-level equipment and features package offered on the Volkswagen Passat B7.
  • B. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • C. GDT
    GDT is the IATA airport code for JAGS McCartney International Airport, which serves Grand Turk Island in the Turks and Caicos Islands.
  • D. GDI
    GDI is a composite index used by the United Nations to measure gender-based disparities in human development outcomes such as health, education, and income.
  • E. TRND
    TRND is a National Institutes of Health program that accelerates the development of treatments for rare and neglected diseases by bridging the gap between basic research and clinical application.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970231ce48190a4eabc4b8c24a3ff completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba9a53c81908e9ed120f6cb94af completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69d4a2ab481908460797a8ee6bc8d completed May 3, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_69f69dc8b86c81908557fa8538e942de completed May 3, 2026, 12:58 a.m.
Created at: April 9, 2026, 5:37 p.m.