Triple
T21363976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land van Heusden |
E526859
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hedikhuizen
Hedikhuizen is a small village in the Dutch province of North Brabant, known for its historic rural character and location near the River Maas.
|
E1480272
|
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: Hedikhuizen | Statement: [Land van Heusden, contains, Hedikhuizen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hedikhuizen Context triple: [Land van Heusden, contains, Hedikhuizen]
-
A.
Uithuizen
Uithuizen is a village in the Dutch province of Groningen known for its historic Menkemaborg manor and role as an administrative and service center for the surrounding rural area.
-
B.
Zandhuizen
Zandhuizen is a small village in the municipality of Weststellingwerf in the province of Friesland in the northern Netherlands.
-
C.
Hornhuizen
Hornhuizen is a small village in the province of Groningen in the northern Netherlands, known for its rural landscape and historic church.
-
D.
Harksheide
Harksheide was a former municipality in Schleswig-Holstein, Germany, that later became part of the city of Norderstedt.
-
E.
Jipsinghuizen
Jipsinghuizen is a small village in the province of Groningen in the northeastern 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: Hedikhuizen Triple: [Land van Heusden, contains, Hedikhuizen]
Generated description
Hedikhuizen is a small village in the Dutch province of North Brabant, known for its historic rural character and location near the River Maas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hedikhuizen Target entity description: Hedikhuizen is a small village in the Dutch province of North Brabant, known for its historic rural character and location near the River Maas.
-
A.
Uithuizen
Uithuizen is a village in the Dutch province of Groningen known for its historic Menkemaborg manor and role as an administrative and service center for the surrounding rural area.
-
B.
Zandhuizen
Zandhuizen is a small village in the municipality of Weststellingwerf in the province of Friesland in the northern Netherlands.
-
C.
Hornhuizen
Hornhuizen is a small village in the province of Groningen in the northern Netherlands, known for its rural landscape and historic church.
-
D.
Harksheide
Harksheide was a former municipality in Schleswig-Holstein, Germany, that later became part of the city of Norderstedt.
-
E.
Jipsinghuizen
Jipsinghuizen is a small village in the province of Groningen in the northeastern 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06d6dcc8190b438d3c2e620578c |
completed | April 22, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad6be0708190811bb7a10b1b7756 |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09ae3744588190877e88dd38a80ebd |
completed | May 17, 2026, 12:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09af2184808190b42b5073e90bd83d |
completed | May 17, 2026, 12:05 p.m. |
Created at: April 16, 2026, 5:08 p.m.