Triple

T12740924
Position Surface form Disambiguated ID Type / Status
Subject Constitutional Tribunal of Poland E304485 entity
Predicate abbreviation P43 FINISHED
Object TK
TK is the commonly used abbreviation for Poland’s Constitutional Tribunal, the country’s highest court for constitutional review.
 E999346 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: TK | Statement: [Constitutional Tribunal of Poland, abbreviation, TK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TK
Context triple: [Constitutional Tribunal of Poland, abbreviation, TK]
  • A. TK
    TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
  • B. TK
    TK is the vehicle registration code assigned to motor vehicles registered in the city of Kielce, Poland.
  • C. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • D. KT
    KT is the official vehicle registration code used on license plates for vehicles registered in Katsina State, Nigeria.
  • E. KT
    KT is the post-nominal abbreviation for Knight of the Order of the Thistle, one of Scotland’s highest and oldest orders of chivalry.
  • 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: TK
Triple: [Constitutional Tribunal of Poland, abbreviation, TK]
Generated description
TK is the commonly used abbreviation for Poland’s Constitutional Tribunal, the country’s highest court for constitutional review.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TK
Target entity description: TK is the commonly used abbreviation for Poland’s Constitutional Tribunal, the country’s highest court for constitutional review.
  • A. TK
    TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
  • B. TK
    TK is the vehicle registration code assigned to motor vehicles registered in the city of Kielce, Poland.
  • C. KT
    KT is the post-nominal abbreviation for Knight of the Order of the Thistle, one of Scotland’s highest and oldest orders of chivalry.
  • D. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • E. KT
    KT is the vehicle registration code used on license plates for the Kitzingen district in Bavaria, Germany.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646dfc908190bc398935d1d23537 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c91ed7c81909165dc300d5b23ae completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67d888d7c8190b9aaeb877984a403 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67e12b8148190958b63ba114d6221 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:26 p.m.