Triple
T3784340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovak Democratic and Christian Union – Democratic Party |
E85492
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
SDKÚ
SDKÚ is a centre-right political party in Slovakia known for its liberal-conservative and pro-European orientation.
|
E388219
|
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: SDKÚ | Statement: [Slovak Democratic and Christian Union – Democratic Party, hasAbbreviation, SDKÚ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SDKÚ Context triple: [Slovak Democratic and Christian Union – Democratic Party, hasAbbreviation, SDKÚ]
-
A.
Sk
Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
-
B.
USZ
USZ is a major public teaching hospital in Zurich, Switzerland, affiliated with the University of Zurich and known for its advanced medical care and research.
-
C.
UzK
UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
-
D.
SK
SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
-
E.
SK
SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
- 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: SDKÚ Triple: [Slovak Democratic and Christian Union – Democratic Party, hasAbbreviation, SDKÚ]
Generated description
SDKÚ is a centre-right political party in Slovakia known for its liberal-conservative and pro-European orientation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SDKÚ Target entity description: SDKÚ is a centre-right political party in Slovakia known for its liberal-conservative and pro-European orientation.
-
A.
Sk
Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
-
B.
USZ
USZ is a major public teaching hospital in Zurich, Switzerland, affiliated with the University of Zurich and known for its advanced medical care and research.
-
C.
UzK
UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
-
D.
SK
SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
-
E.
SK
SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3dc6590819098dda08206206612 |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04747448190be484cda5b2a7a8c |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f1730bbc8190a2f5f70ebc5a528a |
completed | March 14, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f2538eac81908a6c85ddab4e2356 |
completed | March 14, 2026, 5:29 a.m. |
Created at: March 9, 2026, 3:13 p.m.