Triple
T16278967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renkum |
E395212
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Wolfheze
Wolfheze is a small village in the Dutch province of Gelderland, known for its wooded surroundings and role in World War II’s Battle of Arnhem.
|
E1371922
|
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: Wolfheze | Statement: [Renkum, containsSettlement, Wolfheze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolfheze Context triple: [Renkum, containsSettlement, Wolfheze]
-
A.
Hornhuizen
Hornhuizen is a small village in the province of Groningen in the northern Netherlands, known for its rural landscape and historic church.
-
B.
Land van Heusden
Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
-
C.
Oldenzaal
Oldenzaal is a historic city in the eastern Netherlands known for its medieval center and location near the German border in the province of Overijssel.
-
D.
Leeuwenhof
Leeuwenhof is a notable building and historic residence located in The Hague, Netherlands.
-
E.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
- 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: Wolfheze Triple: [Renkum, containsSettlement, Wolfheze]
Generated description
Wolfheze is a small village in the Dutch province of Gelderland, known for its wooded surroundings and role in World War II’s Battle of Arnhem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wolfheze Target entity description: Wolfheze is a small village in the Dutch province of Gelderland, known for its wooded surroundings and role in World War II’s Battle of Arnhem.
-
A.
Hornhuizen
Hornhuizen is a small village in the province of Groningen in the northern Netherlands, known for its rural landscape and historic church.
-
B.
Land van Heusden
Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
-
C.
Oldenzaal
Oldenzaal is a historic city in the eastern Netherlands known for its medieval center and location near the German border in the province of Overijssel.
-
D.
Leeuwenhof
Leeuwenhof is a notable building and historic residence located in The Hague, Netherlands.
-
E.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24610908c8190921e507dcb4d8250 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0723ef338c819084b9f2d04aea4290 |
completed | May 15, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a07256bcabc819090f9a13046df763f |
completed | May 15, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0726306be48190962cb5eebb214136 |
completed | May 15, 2026, 1:57 p.m. |
Created at: April 10, 2026, 5:05 a.m.