Triple
T5952515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westerveld |
E132431
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Doldersum
Doldersum is a small village in the Dutch province of Drenthe, known for its rural landscape and proximity to nature reserves.
|
E557936
|
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: Doldersum | Statement: [Westerveld, contains, Doldersum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doldersum Context triple: [Westerveld, contains, Doldersum]
-
A.
Loppersum
Loppersum is a village and former municipality in the province of Groningen in the Netherlands, known for its historic churches and its location in an area affected by gas-extraction-induced earthquakes.
-
B.
Borssum
Borssum is a district of the seaport city of Emden in Lower Saxony, Germany, known primarily as a residential area with local amenities.
-
C.
Biessum
Biessum is a small village in the province of Groningen in the Netherlands, now part of the municipality of Eemsdelta.
-
D.
Leusden
Leusden is a Dutch town and municipality in the central Netherlands, known for its green residential character and proximity to the city of Amersfoort.
-
E.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
- 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: Doldersum Triple: [Westerveld, contains, Doldersum]
Generated description
Doldersum is a small village in the Dutch province of Drenthe, known for its rural landscape and proximity to nature reserves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doldersum Target entity description: Doldersum is a small village in the Dutch province of Drenthe, known for its rural landscape and proximity to nature reserves.
-
A.
Loppersum
Loppersum is a village and former municipality in the province of Groningen in the Netherlands, known for its historic churches and its location in an area affected by gas-extraction-induced earthquakes.
-
B.
Borssum
Borssum is a district of the seaport city of Emden in Lower Saxony, Germany, known primarily as a residential area with local amenities.
-
C.
Biessum
Biessum is a small village in the province of Groningen in the Netherlands, now part of the municipality of Eemsdelta.
-
D.
Leusden
Leusden is a Dutch town and municipality in the central Netherlands, known for its green residential character and proximity to the city of Amersfoort.
-
E.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03983b8848190afaa37f35c95bad6 |
completed | March 22, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3d1801c819093dc43dc5a525796 |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0e781af588190a8f5572a03b24822 |
completed | March 23, 2026, 7:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0e7f767f8819086026b95c4534733 |
completed | March 23, 2026, 7:12 a.m. |
Created at: March 22, 2026, 4:02 p.m.