Triple

T5694671
Position Surface form Disambiguated ID Type / Status
Subject Wismar E125507 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object HWI
HWI is the vehicle registration code for the German town of Wismar in the state of Mecklenburg-Vorpommern.
E541954 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: HWI | Statement: [Wismar, vehicleRegistrationCode, HWI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HWI
Context triple: [Wismar, vehicleRegistrationCode, HWI]
  • A. HWI
    HWI is the National Rail station code for Horwich Parkway railway station in Greater Manchester, England.
  • B. HBI
    HBI is the stock ticker symbol for Hanesbrands Inc., an American apparel company best known for its Hanes and Champion clothing brands.
  • C. Hiw
    Hiw is an Oceanic language spoken on Hiw Island in northern Vanuatu, known for its small speaker population and distinctive phonological features.
  • D. HTI
    HTI is the three-letter ISO 3166-1 alpha-3 country code assigned to Haiti for international standardization and identification.
  • E. HDI
    The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
  • 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: HWI
Triple: [Wismar, vehicleRegistrationCode, HWI]
Generated description
HWI is the vehicle registration code for the German town of Wismar in the state of Mecklenburg-Vorpommern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HWI
Target entity description: HWI is the vehicle registration code for the German town of Wismar in the state of Mecklenburg-Vorpommern.
  • A. HWI
    HWI is the National Rail station code for Horwich Parkway railway station in Greater Manchester, England.
  • B. HBI
    HBI is the stock ticker symbol for Hanesbrands Inc., an American apparel company best known for its Hanes and Champion clothing brands.
  • C. Hiw
    Hiw is an Oceanic language spoken on Hiw Island in northern Vanuatu, known for its small speaker population and distinctive phonological features.
  • D. HTI
    HTI is the three-letter ISO 3166-1 alpha-3 country code assigned to Haiti for international standardization and identification.
  • E. HDI
    The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02409e70081909e47f2bd4a50fa12 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a528a348190a7f6fd4cc3b76c92 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05d8890148190a4f81b2c1ca70886 completed March 22, 2026, 9:22 p.m.
NED2 Entity disambiguation (via description) batch_69c0620ee1848190935f5f78abbed7ba completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:45 p.m.