Triple
T591161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Council (Austria) |
E17272
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
BR
BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
|
E74078
|
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: BR | Statement: [Federal Council (Austria), abbreviation, BR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BR Context triple: [Federal Council (Austria), abbreviation, BR]
-
A.
BY
BY is the two-letter ISO 3166-1 alpha-2 country code assigned to Belarus.
-
B.
BE
BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
-
C.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
-
D.
BER
BER is Berlin Brandenburg Airport, the main international airport serving Germany’s capital region.
-
E.
B
B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
- 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: BR Triple: [Federal Council (Austria), abbreviation, BR]
Generated description
BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BR Target entity description: BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
-
A.
BY
BY is the two-letter ISO 3166-1 alpha-2 country code assigned to Belarus.
-
B.
BE
BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
-
C.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
-
D.
BER
BER is Berlin Brandenburg Airport, the main international airport serving Germany’s capital region.
-
E.
B
B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bb8ff0081909cd53d88930e2693 |
completed | March 1, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a51554857481909c684b86b51aa126 |
completed | March 2, 2026, 4:43 a.m. |
| NEDg | Description generation | batch_69a5163b240881909672bf4bc2ebe9cf |
completed | March 2, 2026, 4:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a516a1e6508190a7ecb801f5080ddd |
completed | March 2, 2026, 4:48 a.m. |
Created at: March 1, 2026, 7:33 p.m.