Triple
T23363950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swart |
E593260
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
De Swart
De Swart is a Dutch surname, typically of toponymic or descriptive origin, borne by various individuals in the Netherlands and abroad.
|
E1583065
|
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: De Swart | Statement: [Swart, hasVariant, De Swart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Swart Context triple: [Swart, hasVariant, De Swart]
-
A.
Blaak
Blaak is a central transport hub and urban square in Rotterdam, known for its metro and train station near landmarks like the Cube Houses and Markthal.
-
B.
Zwartsluis
Zwartsluis is a small Dutch town in the province of Overijssel, known for its waterways, historic harbor, and role as a regional boating and water sports hub.
-
C.
Blaauw
Blaauw is a Dutch surname most notably associated with Gerrit Blaauw, a pioneering computer architect involved in the design of early IBM systems.
-
D.
De Withte
De Withte is an alternative historical spelling or variant form of the Dutch surname "De Witt."
-
E.
Zwarte Water
Zwarte Water is a river in the Dutch province of Overijssel that flows through several towns before joining the IJssel near Zwolle.
- 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: De Swart Triple: [Swart, hasVariant, De Swart]
Generated description
De Swart is a Dutch surname, typically of toponymic or descriptive origin, borne by various individuals in the Netherlands and abroad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Swart Target entity description: De Swart is a Dutch surname, typically of toponymic or descriptive origin, borne by various individuals in the Netherlands and abroad.
-
A.
Blaak
Blaak is a central transport hub and urban square in Rotterdam, known for its metro and train station near landmarks like the Cube Houses and Markthal.
-
B.
Zwartsluis
Zwartsluis is a small Dutch town in the province of Overijssel, known for its waterways, historic harbor, and role as a regional boating and water sports hub.
-
C.
Blaauw
Blaauw is a Dutch surname most notably associated with Gerrit Blaauw, a pioneering computer architect involved in the design of early IBM systems.
-
D.
De Withte
De Withte is an alternative historical spelling or variant form of the Dutch surname "De Witt."
-
E.
Zwarte Water
Zwarte Water is a river in the Dutch province of Overijssel that flows through several towns before joining the IJssel near Zwolle.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aac4248190a4663ed12aed6856 |
completed | April 29, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dd78f508190b3b83e4cc2625163 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c60473de0819096d3b4e35da16295 |
completed | May 19, 2026, 1:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c60b52fe88190854803902df750c5 |
completed | May 19, 2026, 1:08 p.m. |
Created at: April 17, 2026, 5:31 p.m.