Triple

T18459691
Position Surface form Disambiguated ID Type / Status
Subject Rheinbach E450998 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SU
SU is the vehicle registration code for the Rhein-Sieg-Kreis district in the German state of North Rhine-Westphalia.
 E916217 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: SU | Statement: [Rheinbach, vehicleRegistrationCode, SU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SU
Context triple: [Rheinbach, vehicleRegistrationCode, SU]
  • A. SU
    SU is the IATA airline designator for Aeroflot, Russia’s flag carrier and largest airline.
  • B. SU
    SU is the station code used to identify Summerhill railway station.
  • C. SU
    SU is the commonly used abbreviation for Stockholm University, a major public research university in Stockholm, Sweden.
  • D. SU
    SU is the commonly used abbreviation for Saurashtra University, a public higher education institution located in Gujarat, India.
  • E. SU
    SU is the common abbreviation for the Southern University Jaguars and Lady Jaguars athletic programs representing Southern University in collegiate sports.
  • 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: SU
Triple: [Rheinbach, vehicleRegistrationCode, SU]
Generated description
SU is the vehicle registration code for the Rhein-Sieg-Kreis district in the German state of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SU
Target entity description: SU is the vehicle registration code for the Rhein-Sieg-Kreis district in the German state of North Rhine-Westphalia.
  • A. SU chosen
    SU is the vehicle registration code for the Rhein-Sieg-Kreis district in the German state of North Rhine-Westphalia.
  • B. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • C. SU
    SU is the station code used to identify Summerhill railway station.
  • D. SU
    SU is the commonly used abbreviation for Stockholm University, a major public research university in Stockholm, Sweden.
  • E. SU
    SU is the stock ticker symbol under which Schneider Electric, a global leader in energy management and automation, is traded.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7cdb5c8190a399f0e4052f7d1f completed April 19, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040febab8c819086707e68f2259fe9 completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a0410f9ed708190bd13037037487287 completed May 13, 2026, 5:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0417b159b481908f963cf8b251d898 completed May 13, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:33 a.m.