Triple

T10814545
Position Surface form Disambiguated ID Type / Status
Subject TPS Turku E255189 entity
Predicate shortName P43 FINISHED
Object TPS
TPS is a Finnish sports club from Turku best known for its professional ice hockey and football teams.
 E887551 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: TPS | Statement: [TPS Turku, shortName, TPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TPS
Context triple: [TPS Turku, shortName, TPS]
  • A. TPS
    TPS is a U.S. immigration designation that allows nationals of certain countries facing conflict or disaster to live and work temporarily in the United States.
  • B. TPS
    TPS is a renowned lean manufacturing and management philosophy developed by Toyota that emphasizes waste reduction, continuous improvement, and respect for people.
  • C. TPS
    TPS is the IATA airport code for Trapani–Birgi Airport, a civil and military airport serving the Trapani area in western Sicily, Italy.
  • D. 7TP
    The 7TP was a Polish light tank of the 1930s, notable for its improved armor, armament, and diesel engine compared to contemporary designs, and used during the early stages of World War II.
  • 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: TPS
Triple: [TPS Turku, shortName, TPS]
Generated description
TPS is a Finnish sports club from Turku best known for its professional ice hockey and football teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TPS
Target entity description: TPS is a Finnish sports club from Turku best known for its professional ice hockey and football teams.
  • A. TPS
    TPS is the IATA airport code for Trapani–Birgi Airport, a civil and military airport serving the Trapani area in western Sicily, Italy.
  • B. TPS
    TPS is a renowned lean manufacturing and management philosophy developed by Toyota that emphasizes waste reduction, continuous improvement, and respect for people.
  • C. TPS
    TPS is a U.S. immigration designation that allows nationals of certain countries facing conflict or disaster to live and work temporarily in the United States.
  • D. 7TP
    The 7TP was a Polish light tank of the 1930s, notable for its improved armor, armament, and diesel engine compared to contemporary designs, and used during the early stages of World War II.
  • E. TS
    TS is the vehicle registration code used on license plates for the Province of Trieste in northeastern Italy.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733ece4488190b553a66c4b5188bc completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8546b41081909e13152c4df2eb1c completed April 14, 2026, 6:19 p.m.
NEDg Description generation batch_69de8955b9d8819086ff98efbff6c7a0 completed April 14, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69de8f4a318c819086559fd53506ab29 completed April 14, 2026, 7:02 p.m.
Created at: April 8, 2026, 9:18 p.m.