Triple

T15844070
Position Surface form Disambiguated ID Type / Status
Subject Federal Office of Communications E384169 entity
Predicate abbreviationGerman P119340 FINISHED
Object BAKOM E1179781 NE FINISHED

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: BAKOM | Statement: [Federal Office of Communications, abbreviationGerman, BAKOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BAKOM
Context triple: [Federal Office of Communications, abbreviationGerman, BAKOM]
  • A. BAKOM chosen
    BAKOM is the Swiss Federal Office of Communications, the national authority responsible for regulating telecommunications, broadcasting, and related communication services in Switzerland.
  • B. BAK
    BAK is the acronym for the Swiss Federal Office of Culture, the national authority responsible for promoting and preserving Switzerland’s cultural heritage and arts.
  • C. BAK
    BAK is the National Rail station code used to identify Baker Street station in London’s rail network.
  • D. BAKIZA
    BAKIZA is the official Swahili language council of Zanzibar responsible for promoting, standardizing, and developing Kiswahili in the region.
  • E. BOK
    BOK is the station code for Berlin Ostkreuz, a major railway interchange in Berlin, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142eb20088190bb45e37ce3291ef2 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa93fbcb481908e7b7ddc46992f79 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.