Triple
T4548312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Broadcasting Corporation |
E110097
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SSR SRG |
E331130
|
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: SSR SRG | Statement: [Swiss Broadcasting Corporation, abbreviation, SSR SRG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SSR SRG Context triple: [Swiss Broadcasting Corporation, abbreviation, SSR SRG]
-
A.
SRG SSR
chosen
SRG SSR is Switzerland’s national public broadcasting organization, providing multilingual radio, television, and online services across the country.
-
B.
SRG
SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
-
C.
SR 400
SR 400 is a major north–south highway in Georgia that serves as a key commuter and traffic corridor through the Atlanta metropolitan area.
-
D.
SR 4
SR 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic areas, small communities, and nearby national monuments.
-
E.
SR 100
SR 100 is a state highway in Maine that runs generally parallel to Interstate 95, connecting several communities between Portland and Bangor.
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57f272248190983ae439bd0ac0cc |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb945bd3881908e6c3f5f91b5f38e |
completed | March 20, 2026, 9:16 p.m. |
Created at: March 20, 2026, 1:05 p.m.