Triple

T5301175
Position Surface form Disambiguated ID Type / Status
Subject Ortenaukreis E119983 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object LR
LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
 E509540 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: LR | Statement: [Ortenaukreis, vehicleRegistrationCode, LR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LR
Context triple: [Ortenaukreis, vehicleRegistrationCode, LR]
  • A. RL
    RL is the commonly used acronym for the U.S. Department of Energy’s Richland Operations Office, which oversees environmental cleanup and related activities at the Hanford Site in Washington State.
  • B. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • C. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • D. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • E. LC
    LC is the second-generation Holden Torana series produced in the late 1960s and early 1970s, notable for introducing six-cylinder performance variants in the compact Australian car lineup.
  • 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: LR
Triple: [Ortenaukreis, vehicleRegistrationCode, LR]
Generated description
LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LR
Target entity description: LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
  • A. RL
    RL is the commonly used acronym for the U.S. Department of Energy’s Richland Operations Office, which oversees environmental cleanup and related activities at the Hanford Site in Washington State.
  • B. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • C. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • D. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • E. LC
    LC is the second-generation Holden Torana series produced in the late 1960s and early 1970s, notable for introducing six-cylinder performance variants in the compact Australian car lineup.
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8509f67c8190b2f82a8370301a59 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10f040f48190b34a586d362264ee completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf11635b9c819092130c46caea9306 completed March 21, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69bf11e982d08190bc74312bf6ee7127 completed March 21, 2026, 9:47 p.m.
Created at: March 20, 2026, 1:53 p.m.