Triple

T6612224
Position Surface form Disambiguated ID Type / Status
Subject Ennigerloh E149262 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object WAF
WAF is the vehicle registration code used on license plates for vehicles registered in the district of Warendorf in North Rhine-Westphalia, Germany.
E601000 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: WAF | Statement: [Ennigerloh, vehicleRegistrationCode, WAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAF
Context triple: [Ennigerloh, vehicleRegistrationCode, WAF]
  • A. AWS WAF
    AWS WAF is a cloud-based web application firewall service that helps protect web applications and APIs from common web exploits and bots.
  • B. AIOWF
    AIOWF is the collective body representing the international federations that govern sports featured in the Olympic Winter Games.
  • C. WAFU
    WAFU is the West African Football Union, a regional governing body for football in West Africa under the Confederation of African Football.
  • D. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • E. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • 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: WAF
Triple: [Ennigerloh, vehicleRegistrationCode, WAF]
Generated description
WAF is the vehicle registration code used on license plates for vehicles registered in the district of Warendorf in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WAF
Target entity description: WAF is the vehicle registration code used on license plates for vehicles registered in the district of Warendorf in North Rhine-Westphalia, Germany.
  • A. AWS WAF
    AWS WAF is a cloud-based web application firewall service that helps protect web applications and APIs from common web exploits and bots.
  • B. AIOWF
    AIOWF is the collective body representing the international federations that govern sports featured in the Olympic Winter Games.
  • C. WAFU
    WAFU is the West African Football Union, a regional governing body for football in West Africa under the Confederation of African Football.
  • D. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • E. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af3778a8819094e83afed7c6596f completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbd651c08190a19513645fc781c9 completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd89b51c81909ea17d391732630e completed March 27, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce70442c8190a12a6c6eb76c5269 completed March 27, 2026, 6:37 p.m.
Created at: March 27, 2026, 1:57 p.m.