Triple
T609739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnhem |
E12070
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object |
Arnhemmer
An Arnhemmer is a resident or native of the Dutch city of Arnhem in the province of Gelderland.
|
E103520
|
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: Arnhemmer | Statement: [Arnhem, demonym, Arnhemmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnhemmer Context triple: [Arnhem, demonym, Arnhemmer]
-
A.
De Croo
De Croo is a Belgian political family name most prominently associated with Alexander De Croo, the Prime Minister of Belgium.
-
B.
Herkinge
Herkinge is a small settlement located in the Dutch province of South Holland.
-
C.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
D.
Aalsmeer
Aalsmeer is a Dutch town in North Holland best known as a global center for the flower and plant trade, hosting one of the world’s largest flower auctions.
-
E.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
- 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: Arnhemmer Triple: [Arnhem, demonym, Arnhemmer]
Generated description
An Arnhemmer is a resident or native of the Dutch city of Arnhem in the province of Gelderland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arnhemmer Target entity description: An Arnhemmer is a resident or native of the Dutch city of Arnhem in the province of Gelderland.
-
A.
Winschoten
Winschoten is a town in the northeast of the Netherlands known historically as a regional trade center and for its traditional windmills and Jewish heritage.
-
B.
De Croo
De Croo is a Belgian political family name most prominently associated with Alexander De Croo, the Prime Minister of Belgium.
-
C.
Herkinge
Herkinge is a small settlement located in the Dutch province of South Holland.
-
D.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
E.
Aalsmeer
Aalsmeer is a Dutch town in North Holland best known as a global center for the flower and plant trade, hosting one of the world’s largest flower auctions.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df68f2c8190a0ee9da4692b2a62 |
completed | March 1, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b830bf5c81908784e8146987eb96 |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7ba8dd7408190b5ee7688e45f2473 |
completed | March 4, 2026, 4:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7bc1da490819097fe1e60e3e93ba4 |
completed | March 4, 2026, 4:59 a.m. |
Created at: March 1, 2026, 7:35 p.m.