Triple

T19960929
Position Surface form Disambiguated ID Type / Status
Subject PKP IC E479810 entity
Predicate brand P1500 FINISHED
Object TLK NE NERFINISHED

How this triple was built (2 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 IC, brand, TLK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TLK
Context triple: [PKP IC, brand, TLK]
  • A. TLK chosen
    TLK is a category of long-distance passenger trains in Poland operated by PKP Intercity, typically offering budget-friendly intercity connections.
  • B. TLG
    TLG is the abbreviation for the Technical Liaison Group, a coordinating body that facilitates communication and collaboration among various technical standards organizations.
  • C. TLH
    TLH is the IATA airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s state capital.
  • D. Tl
    Tl is the official station code used to identify Tiel railway station in the Netherlands.
  • E. Talke
    Talke is a village and suburb in Staffordshire, England, situated near the town of Kidsgrove.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af4520c81909986a47289ba801e completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.