Triple
T4833226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voor Moed, Beleid en Trouw |
E107993
|
entity |
| Predicate | hasWord |
P35
|
FINISHED |
| Object |
Trouw
Trouw is a Dutch daily newspaper known for its Christian-democratic roots and in-depth coverage of news, culture, and society.
|
E472879
|
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: Trouw | Statement: [Voor Moed, Beleid en Trouw, hasWord, Trouw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trouw Context triple: [Voor Moed, Beleid en Trouw, hasWord, Trouw]
-
A.
De Standaard
De Standaard is a Dutch-language newspaper historically associated with Abraham Kuyper’s neo-Calvinist and anti-revolutionary movement in the Netherlands.
-
B.
Warta
Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
-
C.
L’Express
L’Express is a major French weekly news magazine known for its political and intellectual commentary.
-
D.
Afrikaanse Pers Beperk
Afrikaanse Pers Beperk was a South African Afrikaans-language publishing company known for producing influential newspapers and other print media.
-
E.
Veermansplaat
Veermansplaat is a small, uninhabited island and nature area located in the Grevelingen estuary in the southwestern Netherlands.
- 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: Trouw Triple: [Voor Moed, Beleid en Trouw, hasWord, Trouw]
Generated description
Trouw is a Dutch daily newspaper known for its Christian-democratic roots and in-depth coverage of news, culture, and society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trouw Target entity description: Trouw is a Dutch daily newspaper known for its Christian-democratic roots and in-depth coverage of news, culture, and society.
-
A.
De Standaard
De Standaard is a Dutch-language newspaper historically associated with Abraham Kuyper’s neo-Calvinist and anti-revolutionary movement in the Netherlands.
-
B.
Warta
Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
-
C.
L’Express
L’Express is a major French weekly news magazine known for its political and intellectual commentary.
-
D.
Afrikaanse Pers Beperk
Afrikaanse Pers Beperk was a South African Afrikaans-language publishing company known for producing influential newspapers and other print media.
-
E.
Veermansplaat
Veermansplaat is a small, uninhabited island and nature area located in the Grevelingen estuary in the southwestern Netherlands.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cca88d88190a8ad6cf7856bdf69 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dd744688190a420580e3a8332ff |
completed | March 21, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69be4e764b60819097aace8e7321dc0c |
completed | March 21, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4ef7c3e081909c74a573058810f0 |
completed | March 21, 2026, 7:55 a.m. |
Created at: March 20, 2026, 1:24 p.m.