Triple

T18171908
Position Surface form Disambiguated ID Type / Status
Subject Lauf an der Pegnitz E435048 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object LAU
LAU is the vehicle registration code for the German town of Lauf an der Pegnitz in Bavaria.
 E1309597 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: LAU | Statement: [Lauf an der Pegnitz, vehicleRegistrationCode, LAU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LAU
Context triple: [Lauf an der Pegnitz, vehicleRegistrationCode, LAU]
  • A. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • B. Lau
    Lau is an Austronesian language spoken by the Lau people of northeast Malaita in the Solomon Islands.
  • C. LAJ
    LAJ is the station code for La Junta station, an Amtrak railroad stop in La Junta, Colorado, serving long-distance passenger trains.
  • D. La La
    "La La" is a pop-rock song by American singer Ashlee Simpson from her debut album "Autobiography," known for its edgy lyrics and rebellious tone.
  • E. LAF
    LAF is the acronym commonly used to refer to the Lithuanian Armed Forces, the military organization responsible for Lithuania’s national defense.
  • 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: LAU
Triple: [Lauf an der Pegnitz, vehicleRegistrationCode, LAU]
Generated description
LAU is the vehicle registration code for the German town of Lauf an der Pegnitz in Bavaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LAU
Target entity description: LAU is the vehicle registration code for the German town of Lauf an der Pegnitz in Bavaria.
  • A. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • B. Lau
    Lau is an Austronesian language spoken by the Lau people of northeast Malaita in the Solomon Islands.
  • C. LAJ
    LAJ is the station code for La Junta station, an Amtrak railroad stop in La Junta, Colorado, serving long-distance passenger trains.
  • D. La La
    "La La" is a pop-rock song by American singer Ashlee Simpson from her debut album "Autobiography," known for its edgy lyrics and rebellious tone.
  • E. LAF
    LAF is the acronym commonly used to refer to the Lithuanian Armed Forces, the military organization responsible for Lithuania’s national defense.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df56190c8190a3644333f9050a10 completed April 19, 2026, 1:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038fc899688190afcfde970a92ef75 completed May 12, 2026, 8:38 p.m.
NEDg Description generation batch_6a03919381288190933d198a71466ccc completed May 12, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_6a03922a2a148190917adab265da0e55 completed May 12, 2026, 8:48 p.m.
Created at: April 10, 2026, 10:30 a.m.