Triple

T4538784
Position Surface form Disambiguated ID Type / Status
Subject Remagen E107474 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object AW
AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
E451001 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: AW | Statement: [Remagen, vehicleRegistrationCode, AW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AW
Context triple: [Remagen, vehicleRegistrationCode, AW]
  • A. AW
    AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
  • B. W
    The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
  • C. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • D. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • E. AN
    AN is the abbreviation commonly used for the National Alliance, a political organization.
  • 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: AW
Triple: [Remagen, vehicleRegistrationCode, AW]
Generated description
AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AW
Target entity description: AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
  • A. AW
    AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
  • B. W
    The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
  • C. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • D. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • E. AN
    AN is the abbreviation commonly used for the National Alliance, a political organization.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57ba327c8190a7f12e14077b1fa7 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacfff41481908a5c97ab4fcb9259 completed March 20, 2026, 8:24 p.m.
NEDg Description generation batch_69bdb32911cc8190a8624d54dad6355e completed March 20, 2026, 8:50 p.m.
NED2 Entity disambiguation (via description) batch_69bdb3a0bf908190b9a029f47e6be941 completed March 20, 2026, 8:52 p.m.
Created at: March 20, 2026, 1:04 p.m.