Triple

T15559504
Position Surface form Disambiguated ID Type / Status
Subject Supreme Court of Spain E370958 entity
Predicate shortName P43 FINISHED
Object TS
TS is the commonly used abbreviation for the Supreme Court of Spain, the country's highest judicial authority in most legal matters.
 E1163432 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: [Supreme Court of Spain, shortName, TS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TS
Context triple: [Supreme Court of Spain, shortName, 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: [Supreme Court of Spain, shortName, TS]
Generated description
TS is the commonly used abbreviation for the Supreme Court of Spain, the country's highest judicial authority in most legal matters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TS
Target entity description: TS is the commonly used abbreviation for the Supreme Court of Spain, the country's highest judicial authority in most legal matters.
  • A. TS
    TS is the common abbreviation for Trabzonspor, a major Turkish professional football club based in the city of Trabzon.
  • 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 official vehicle registration code used on motor vehicles registered in the Indian state of Telangana.
  • 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

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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dda3ab88190ab383333ce69fe8f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456635588190a2473bcff3ae4a53 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff46f44b2c81909f65f0ab455c6549 completed May 9, 2026, 2:38 p.m.
NED2 Entity disambiguation (via description) batch_69ff477a63b48190a453cf669dfda228 completed May 9, 2026, 2:40 p.m.
Created at: April 10, 2026, 4:09 a.m.