Triple

T8787884
Position Surface form Disambiguated ID Type / Status
Subject Traunstein district E209087 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object TS
TS is the vehicle registration code used on license plates for the Traunstein district in Bavaria, Germany.
 E756952 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: TS | Statement: [Traunstein district, hasVehicleRegistrationCode, TS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TS
Context triple: [Traunstein district, hasVehicleRegistrationCode, TS]
  • A. TS
    TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
  • B. TS
    TS is the vehicle registration code used on license plates for the Province of Trieste in northeastern Italy.
  • C. TS
    TS is the official vehicle registration code used on motor vehicles registered in the Indian state of Telangana.
  • D. TS
    TS is the IATA airline designator assigned to Air Transat, a Canadian leisure airline based in Montreal.
  • E. TS
    TS is the common abbreviation for Windows Terminal Services, Microsoft’s legacy remote desktop and application virtualization technology for Windows servers.
  • 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: TS
Triple: [Traunstein district, hasVehicleRegistrationCode, TS]
Generated description
TS is the vehicle registration code used on license plates for the Traunstein district in Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TS
Target entity description: TS is the vehicle registration code used on license plates for the Traunstein district in Bavaria, Germany.
  • A. TS
    TS is the vehicle registration code used on license plates for the Province of Trieste in northeastern Italy.
  • B. TS
    TS is the official vehicle registration code used on motor vehicles registered in the Indian state of Telangana.
  • C. TS
    TS is the common abbreviation for Trabzonspor, a major Turkish professional football club based in the city of Trabzon.
  • D. TS
    TS is a postcode area in northeastern England covering parts of Teesside, including towns such as Stockton-on-Tees and Middlesbrough.
  • E. TS
    TS is the IATA airline designator assigned to Air Transat, a Canadian leisure airline based in Montreal.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f89a84c819085d4cfe4e6dfbda8 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf520678f48190a0af3df75df9b269 completed April 3, 2026, 5:37 a.m.
NEDg Description generation batch_69cf5490df348190a31f300f0f4dae71 completed April 3, 2026, 5:48 a.m.
NED2 Entity disambiguation (via description) batch_69cf5565bc108190a283772608fd28de completed April 3, 2026, 5:51 a.m.
Created at: March 30, 2026, 6:43 p.m.