Triple

T10728852
Position Surface form Disambiguated ID Type / Status
Subject Nordwestmecklenburg E253019 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object WIS
WIS is the vehicle registration code used on license plates for the district of Nordwestmecklenburg in the German state of Mecklenburg-Vorpommern.
E883391 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: WIS | Statement: [Nordwestmecklenburg, vehicleRegistrationCode, WIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WIS
Context triple: [Nordwestmecklenburg, vehicleRegistrationCode, WIS]
  • A. WIS
    WIS is the World Meteorological Organization’s global information system for sharing and distributing meteorological, hydrological, and related environmental data.
  • B. WIS
    WIS is the common abbreviation for Wisła Kraków, a historic Polish football club based in Kraków.
  • C. W.D. Wis.
    W.D. Wis. is the standard legal abbreviation for the United States District Court for the Western District of Wisconsin, a federal trial court within the Seventh Circuit.
  • D. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • E. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • 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: WIS
Triple: [Nordwestmecklenburg, vehicleRegistrationCode, WIS]
Generated description
WIS is the vehicle registration code used on license plates for the district of Nordwestmecklenburg in the German state of Mecklenburg-Vorpommern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WIS
Target entity description: WIS is the vehicle registration code used on license plates for the district of Nordwestmecklenburg in the German state of Mecklenburg-Vorpommern.
  • A. WIS
    WIS is the common abbreviation for Wisła Kraków, a historic Polish football club based in Kraków.
  • B. WIS
    WIS is the World Meteorological Organization’s global information system for sharing and distributing meteorological, hydrological, and related environmental data.
  • C. W.D. Wis.
    W.D. Wis. is the standard legal abbreviation for the United States District Court for the Western District of Wisconsin, a federal trial court within the Seventh Circuit.
  • D. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • E. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fc92a18819089cc67afee1c9b96 completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22a97fec8190bb97f68353c2144e completed April 14, 2026, 11:19 a.m.
NEDg Description generation batch_69de271ca4f081908d78a20b25ebd25c completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2ccee0cc8190acd24d5c225f7cde completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:14 p.m.