Triple

T8747447
Position Surface form Disambiguated ID Type / Status
Subject Braunschweig-Wolfsburg Airport E207867 entity
Predicate IATA code P2569 FINISHED
Object BWE
BWE is the IATA airport code for Braunschweig-Wolfsburg Airport in Germany.
 E755294 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: BWE | Statement: [Braunschweig-Wolfsburg Airport, IATA code, BWE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BWE
Context triple: [Braunschweig-Wolfsburg Airport, IATA code, BWE]
  • A. BBE
    BBE is an academic division at the California Institute of Technology focused on research and education in biology and biological engineering.
  • B. BBE
    BBE is an independent British record label known for its focus on underground hip hop, soul, and eclectic beats.
  • C. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • D. BW
    BW is the station code for Borsigwerke, a Berlin U-Bahn station on line U6 in the Reinickendorf district of Germany’s capital.
  • E. BEY
    BEY is the IATA airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon’s capital city.
  • 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: BWE
Triple: [Braunschweig-Wolfsburg Airport, IATA code, BWE]
Generated description
BWE is the IATA airport code for Braunschweig-Wolfsburg Airport in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BWE
Target entity description: BWE is the IATA airport code for Braunschweig-Wolfsburg Airport in Germany.
  • A. BBE
    BBE is an academic division at the California Institute of Technology focused on research and education in biology and biological engineering.
  • B. BBE
    BBE is an independent British record label known for its focus on underground hip hop, soul, and eclectic beats.
  • C. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • D. BW
    BW is the station code for Borsigwerke, a Berlin U-Bahn station on line U6 in the Reinickendorf district of Germany’s capital.
  • E. BEY
    BEY is the IATA airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon’s capital city.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da2d67c819094b2b39c78384d0d completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4313630881909b946cb8a2bdf793 completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf4462da648190a621397fa88dd4bd completed April 3, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf454c4d248190a925b15c23af1a24 completed April 3, 2026, 4:42 a.m.
Created at: March 30, 2026, 6:39 p.m.