Triple

T9439531
Position Surface form Disambiguated ID Type / Status
Subject Lahn-Dill-Kreis E227605 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object DIL
DIL is the vehicle registration code for the Lahn-Dill district in the German state of Hesse.
 E672453 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: DIL | Statement: [Lahn-Dill-Kreis, vehicleRegistrationCode, DIL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DIL
Context triple: [Lahn-Dill-Kreis, vehicleRegistrationCode, DIL]
  • A. DIL
    DIL is a German research institute specializing in food technology and innovation.
  • B. DIL
    DIL is the IATA airport code for Presidente Nicolau Lobato International Airport, the main international gateway to Dili, the capital of Timor-Leste.
  • C. Dile
    "Dile" is a popular reggaeton track best known as one of Don Omar’s early breakthrough hits in the genre.
  • D. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • E. Dilesi
    Dilesi is a coastal town in Boeotia, Greece, situated on the Euboean Gulf and functioning today as a small residential and holiday community.
  • 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: DIL
Triple: [Lahn-Dill-Kreis, vehicleRegistrationCode, DIL]
Generated description
DIL is the vehicle registration code for the Lahn-Dill district in the German state of Hesse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DIL
Target entity description: DIL is the vehicle registration code for the Lahn-Dill district in the German state of Hesse.
  • A. DIL
    DIL is a German research institute specializing in food technology and innovation.
  • B. DIL chosen
    DIL is the IATA airport code for Presidente Nicolau Lobato International Airport, the main international gateway to Dili, the capital of Timor-Leste.
  • C. Dile
    "Dile" is a popular reggaeton track best known as one of Don Omar’s early breakthrough hits in the genre.
  • D. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • E. Dilesi
    Dilesi is a coastal town in Boeotia, Greece, situated on the Euboean Gulf and functioning today as a small residential and holiday community.
  • F. None of above.

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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee36f908190826994db91b18466 completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1105909248190b3e02a1aa5f06b11 completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111113c5c81909ff654734b211753 completed April 4, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_69d111ab40a48190bb77c1cf80ef87a8 completed April 4, 2026, 1:27 p.m.
Created at: March 30, 2026, 7:50 p.m.