Triple
T18500378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Federal Office of Communications |
E452050
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | BAKOM |
—
|
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: BAKOM | Statement: [Swiss Federal Office of Communications, shortName, BAKOM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BAKOM Context triple: [Swiss Federal Office of Communications, shortName, 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 (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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c43de48190b49b87c1bb591016 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:36 a.m.