Triple

T15345879
Position Surface form Disambiguated ID Type / Status
Subject Helmholtz Centre for Infection Research E366914 entity
Predicate abbreviation P43 FINISHED
Object HZI
HZI is a leading German research center focused on understanding infectious diseases and developing new strategies for their prevention, diagnosis, and treatment.
 E1151750 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: HZI | Statement: [Helmholtz Centre for Infection Research, abbreviation, HZI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HZI
Context triple: [Helmholtz Centre for Infection Research, abbreviation, HZI]
  • A. HZ
    HZ is the vehicle registration code assigned to the town of Thale in Germany.
  • B. HNZ
    HNZ is the IATA airport code for Henderson–Oxford Airport in North Carolina, United States.
  • C. HNZ
    HNZ is the stock ticker symbol formerly used to represent the H.J. Heinz Company, a major American food processing company best known for its ketchup and other condiments.
  • D. HSZ
    HSZ is the IATA airport code for Hsinchu Air Base, a military airfield located in Hsinchu, Taiwan.
  • E. ZI
    ZI is the vehicle registration code used on license plates for vehicles registered in the district of Görlitz in Germany.
  • 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: HZI
Triple: [Helmholtz Centre for Infection Research, abbreviation, HZI]
Generated description
HZI is a leading German research center focused on understanding infectious diseases and developing new strategies for their prevention, diagnosis, and treatment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HZI
Target entity description: HZI is a leading German research center focused on understanding infectious diseases and developing new strategies for their prevention, diagnosis, and treatment.
  • A. HZ
    HZ is the vehicle registration code assigned to the town of Thale in Germany.
  • B. HNZ
    HNZ is the IATA airport code for Henderson–Oxford Airport in North Carolina, United States.
  • C. HNZ
    HNZ is the stock ticker symbol formerly used to represent the H.J. Heinz Company, a major American food processing company best known for its ketchup and other condiments.
  • D. HSZ
    HSZ is the IATA airport code for Hsinchu Air Base, a military airfield located in Hsinchu, Taiwan.
  • E. ZI
    ZI is the vehicle registration code used on license plates for vehicles registered in the district of Görlitz in Germany.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f931408190828d87567cecaceb completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff034de0508190aea8068e9c3d04d3 completed May 9, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69ff03c0ebc081908b1a132256e9d004 completed May 9, 2026, 9:52 a.m.
Created at: April 10, 2026, 3:17 a.m.