Triple

T22683285
Position Surface form Disambiguated ID Type / Status
Subject Jakobsberg railway station E560838 entity
Predicate hasStationCode P1289 FINISHED
Object Jkb 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: Jkb | Statement: [Jakobsberg railway station, hasStationCode, Jkb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jkb
Context triple: [Jakobsberg railway station, hasStationCode, Jkb]
  • A. Jkb chosen
    Jkb is the station code for Jakobsberg railway station in Sweden.
  • B. JK
    JK is the widely used nickname of Juscelino Kubitschek, the former president of Brazil best known for founding Brasília and promoting rapid national development.
  • C. K_J
    K_J is the standard symbol used to denote the Josephson constant, a fundamental physical constant relating voltage and frequency in superconducting Josephson junctions.
  • D. JKG
    JKG is the IATA airport code for Jönköping Airport in Sweden.
  • E. JIB
    JIB is the IATA airport code for Djibouti–Ambouli International Airport, the main international gateway serving Djibouti.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786204d88190a837a5f04e16e94c completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:12 p.m.