Triple

T4892124
Position Surface form Disambiguated ID Type / Status
Subject PKP Intercity E109587 entity
Predicate operatorOf P179 FINISHED
Object TLK
TLK is a category of long-distance passenger trains in Poland operated by PKP Intercity, typically offering budget-friendly intercity connections.
 E479814 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: TLK | Statement: [PKP Intercity, operatorOf, TLK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TLK
Context triple: [PKP Intercity, operatorOf, TLK]
  • A. TLH
    TLH is the IATA airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s state capital.
  • B. Talke
    Talke is a village and suburb in Staffordshire, England, situated near the town of Kidsgrove.
  • C. TLA
    TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
  • D. TLO
    TLO, also known as Dario Wünsch, is a German professional StarCraft II player renowned for his creative strategies and long-standing presence in the competitive scene.
  • E. TLF
    TLF is the abbreviation commonly used for the Turkish Land Forces, the main ground warfare branch of Turkey’s military.
  • 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: TLK
Triple: [PKP Intercity, operatorOf, TLK]
Generated description
TLK is a category of long-distance passenger trains in Poland operated by PKP Intercity, typically offering budget-friendly intercity connections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TLK
Target entity description: TLK is a category of long-distance passenger trains in Poland operated by PKP Intercity, typically offering budget-friendly intercity connections.
  • A. TLH
    TLH is the IATA airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s state capital.
  • B. Talke
    Talke is a village and suburb in Staffordshire, England, situated near the town of Kidsgrove.
  • C. TLA
    TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
  • D. TLO
    TLO, also known as Dario Wünsch, is a German professional StarCraft II player renowned for his creative strategies and long-standing presence in the competitive scene.
  • E. TLF
    TLF is the abbreviation commonly used for the Turkish Land Forces, the main ground warfare branch of Turkey’s military.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e2444dc819088d5562e90d16d9b completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fbf3e74819099910475bbd18734 completed March 21, 2026, 10:15 a.m.
NEDg Description generation batch_69be735ea2cc819085c221b7230db63d completed March 21, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_69be73b237388190b3502e64e185a26e completed March 21, 2026, 10:32 a.m.
Created at: March 20, 2026, 1:28 p.m.