Triple

T6908831
Position Surface form Disambiguated ID Type / Status
Subject Wittmund district E159879 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object WTM
WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
 E627989 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: WTM | Statement: [Wittmund district, vehicleRegistrationCode, WTM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WTM
Context triple: [Wittmund district, vehicleRegistrationCode, WTM]
  • A. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • B. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • C. WATH
    WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
  • D. WMC
    WMC is the commonly used abbreviation for the World Methodist Council, a worldwide association of Methodist churches and related denominations.
  • E. WTS
    WTS is the commonly used abbreviation for the Watch Tower Bible and Tract Society of Pennsylvania, the primary legal and publishing organization associated with Jehovah’s Witnesses.
  • 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: WTM
Triple: [Wittmund district, vehicleRegistrationCode, WTM]
Generated description
WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WTM
Target entity description: WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
  • A. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • B. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • C. WATH
    WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
  • D. WMC
    WMC is the commonly used abbreviation for the World Methodist Council, a worldwide association of Methodist churches and related denominations.
  • E. WTS
    WTS is the commonly used abbreviation for the Watch Tower Bible and Tract Society of Pennsylvania, the primary legal and publishing organization associated with Jehovah’s Witnesses.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9be98748190b5cb698e66e3aa42 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c749076f6c819088b0b40dd3e208b0 completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c74c274258819099913ac5610730ac completed March 28, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69c74cca47b88190867550802db43ef0 completed March 28, 2026, 3:36 a.m.
Created at: March 27, 2026, 2:25 p.m.