Triple
T288032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formation of the De Croo government (Vivaldi coalition) |
E5927
|
entity |
| Predicate | coalitionIncludes |
P6048
|
FINISHED |
| Object |
Groen
Groen is a Flemish green political party in Belgium known for its progressive stance on environmental and social issues.
|
E37248
|
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: Groen | Statement: [Formation of the De Croo government (Vivaldi coalition), coalitionIncludes, Groen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Groen Context triple: [Formation of the De Croo government (Vivaldi coalition), coalitionIncludes, Groen]
-
A.
Orange
Orange is a historic town in southeastern France best known for giving its name and origin to the Dutch royal House of Orange-Nassau.
-
B.
Tiffany Blue
Tiffany Blue is the distinctive light robin’s-egg blue color trademarked and famously used by the luxury jewelry brand Tiffany & Co.
-
C.
Oxford blue
Oxford blue is a dark, rich shade of navy traditionally associated with the University of Oxford and its sports teams.
-
D.
GVB
GVB is Amsterdam’s primary public transport company, operating the city’s trams, buses, metro, and ferries.
-
E.
Case White
Case White was the German codename for the 1939 invasion of Poland that marked the beginning of World War II in Europe.
- 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: Groen Triple: [Formation of the De Croo government (Vivaldi coalition), coalitionIncludes, Groen]
Generated description
Groen is a Flemish green political party in Belgium known for its progressive stance on environmental and social issues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Groen Target entity description: Groen is a Flemish green political party in Belgium known for its progressive stance on environmental and social issues.
-
A.
Orange
Orange is a historic town in southeastern France best known for giving its name and origin to the Dutch royal House of Orange-Nassau.
-
B.
Tiffany Blue
Tiffany Blue is the distinctive light robin’s-egg blue color trademarked and famously used by the luxury jewelry brand Tiffany & Co.
-
C.
Oxford blue
Oxford blue is a dark, rich shade of navy traditionally associated with the University of Oxford and its sports teams.
-
D.
GVB
GVB is Amsterdam’s primary public transport company, operating the city’s trams, buses, metro, and ferries.
-
E.
Case White
Case White was the German codename for the 1939 invasion of Poland that marked the beginning of World War II in Europe.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a260d21e5881909f3baba8b8dfff92 |
completed | Feb. 28, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a39d08ef048190b0b382f8a0bc6c87 |
completed | March 1, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69a39d8923608190b7bdda99a3534c1c |
completed | March 1, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a39dec8b5c8190a42520806bcad8e5 |
completed | March 1, 2026, 2:01 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.