Triple

T14168509
Position Surface form Disambiguated ID Type / Status
Subject Tsageri Municipality E351141 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object TS
TS is the vehicle registration code assigned to vehicles registered in Tsageri Municipality in Georgia.
 E1082876 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: [Tsageri Municipality, hasVehicleRegistrationCode, TS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TS
Context triple: [Tsageri Municipality, hasVehicleRegistrationCode, TS]
  • 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 Windows Terminal Services, Microsoft’s legacy remote desktop and application virtualization technology for Windows servers.
  • D. 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.
  • E. TS
    TS is the IATA airline designator assigned to Air Transat, a Canadian leisure airline based in Montreal.
  • 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: [Tsageri Municipality, hasVehicleRegistrationCode, TS]
Generated description
TS is the vehicle registration code assigned to vehicles registered in Tsageri Municipality in Georgia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TS
Target entity description: TS is the vehicle registration code assigned to vehicles registered in Tsageri Municipality in Georgia.
  • A. TS
    TS is the official vehicle registration code used on motor vehicles registered in the Indian state of Telangana.
  • 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 vehicle registration code used on license plates for the Traunstein district in Bavaria, Germany.
  • D. TS
    TS is the common abbreviation for Trabzonspor, a major Turkish professional football club based in the city of Trabzon.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f779248190921c85f99f587296 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fcf8bb58ac81908e66156a805edda8 completed May 7, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69fcf93b528c81908c0ee11908d25574 completed May 7, 2026, 8:42 p.m.
Created at: April 10, 2026, 1 a.m.