Triple
T4548317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Broadcasting Corporation |
E110097
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
RTR
RTR is a Swiss public broadcasting division that produces and distributes radio, television, and online content in the Romansh language.
|
E452049
|
NE FINISHED |
How this triple was built (4 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: RTR | Statement: [Swiss Broadcasting Corporation, hasDivision, RTR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RTR Context triple: [Swiss Broadcasting Corporation, hasDivision, RTR]
-
A.
RTR
RTR is the commonly used nickname for the Recruit Training Regiment, a military unit responsible for initial training of new recruits.
-
B.
TRR
TRR is the IATA airport code for Trincomalee Airport in Sri Lanka.
-
C.
RTRA
RTRA is the abbreviation for the Royal Tank Regiment Association, an organization that supports and connects current and former members of the Royal Tank Regiment.
-
D.
TRTS
TRTS is the commonly used abbreviation for the Taipei Metro rapid transit system serving the Taipei metropolitan area in Taiwan.
-
E.
RTA
RTA is Dubai’s Roads and Transport Authority, the government agency responsible for planning and operating the emirate’s public transportation and road systems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RTR Triple: [Swiss Broadcasting Corporation, hasDivision, RTR]
Generated description
RTR is a Swiss public broadcasting division that produces and distributes radio, television, and online content in the Romansh language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RTR Target entity description: RTR is a Swiss public broadcasting division that produces and distributes radio, television, and online content in the Romansh language.
-
A.
RTR
RTR is the commonly used nickname for the Recruit Training Regiment, a military unit responsible for initial training of new recruits.
-
B.
TRR
TRR is the IATA airport code for Trincomalee Airport in Sri Lanka.
-
C.
RTRA
RTRA is the abbreviation for the Royal Tank Regiment Association, an organization that supports and connects current and former members of the Royal Tank Regiment.
-
D.
TRTS
TRTS is the commonly used abbreviation for the Taipei Metro rapid transit system serving the Taipei metropolitan area in Taiwan.
-
E.
RTA
RTA is Dubai’s Roads and Transport Authority, the government agency responsible for planning and operating the emirate’s public transportation and road systems.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69bdbecf94d0819087519e44aab5a035 |
completed | March 20, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdbf81f1208190946611fb6a1c20ba |
completed | March 20, 2026, 9:43 p.m. |
Created at: March 20, 2026, 1:05 p.m.