Triple

T23493782
Position Surface form Disambiguated ID Type / Status
Subject Falkirk High railway station E571646 entity
Predicate hasStationCode P1289 FINISHED
Object FKK 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: FKK | Statement: [Falkirk High railway station, hasStationCode, FKK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FKK
Context triple: [Falkirk High railway station, hasStationCode, FKK]
  • A. FKK chosen
    FKK is the National Rail station code assigned to Falkirk High railway station in Scotland.
  • B. FKC
    FKC is the National Rail station code for Folkestone Central railway station in Kent, England.
  • C. FKF
    FKF is the Football Kenya Federation, the national governing body responsible for organizing and overseeing football activities and competitions in Kenya.
  • D. FKKD
    FKKD is the ICAO airport code for Douala International Airport, the main international gateway to Douala, Cameroon.
  • E. FKKL
    FKKL is the ICAO airport code for Maroua Salak Airport in Cameroon.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7de1ab88190b6c2441c63a99713 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.