Triple
T14060385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verhagen |
E338328
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Verhaagen |
E1080055
|
NE FINISHED |
How this triple was built (2 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: Verhaagen | Statement: [Verhagen, hasVariant, Verhaagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verhaagen Context triple: [Verhagen, hasVariant, Verhaagen]
-
A.
Verhaegen
chosen
Verhaegen is a Dutch-language surname of Belgian and Dutch origin, borne by various notable figures in politics, academia, and the arts.
-
B.
Verhagen
Verhagen is a Dutch-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
-
C.
Berghuizen
Berghuizen is a small village located within the municipality of De Wolden in the Dutch province of Drenthe.
-
D.
Goudriaan
Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
-
E.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5686f51c81908c33143ecbaae83d |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdefcc5708190beacccaa978a4abd |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:21 p.m.