Triple
T11315605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genk |
E267956
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Waterschei
Waterschei is a district of the Belgian city of Genk, historically known for its coal mining activities and associated industrial heritage.
|
E917494
|
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: Waterschei | Statement: [Genk, contains, Waterschei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterschei Context triple: [Genk, contains, Waterschei]
-
A.
Zuiderwoude
Zuiderwoude is a small historic village in the Dutch province of North Holland, known for its traditional wooden houses and watery polder landscape near Amsterdam.
-
B.
Haringvliet
Haringvliet is a former estuary in the western Netherlands that now functions as a controlled waterway and nature area connecting the Rhine-Meuse river system to the North Sea.
-
C.
Sappemeer
Sappemeer is a town in the province of Groningen in the northeastern Netherlands, historically known for its peat colonies and waterways.
-
D.
Hoogeveense Vaart
Hoogeveense Vaart is a canal in the Dutch province of Drenthe that serves as an important waterway for transport and drainage in the region.
-
E.
Everbeek
Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
- 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: Waterschei Triple: [Genk, contains, Waterschei]
Generated description
Waterschei is a district of the Belgian city of Genk, historically known for its coal mining activities and associated industrial heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waterschei Target entity description: Waterschei is a district of the Belgian city of Genk, historically known for its coal mining activities and associated industrial heritage.
-
A.
Zuiderwoude
Zuiderwoude is a small historic village in the Dutch province of North Holland, known for its traditional wooden houses and watery polder landscape near Amsterdam.
-
B.
Haringvliet
Haringvliet is a former estuary in the western Netherlands that now functions as a controlled waterway and nature area connecting the Rhine-Meuse river system to the North Sea.
-
C.
Sappemeer
Sappemeer is a town in the province of Groningen in the northeastern Netherlands, historically known for its peat colonies and waterways.
-
D.
Hoogeveense Vaart
Hoogeveense Vaart is a canal in the Dutch province of Drenthe that serves as an important waterway for transport and drainage in the region.
-
E.
Everbeek
Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c2c7b081909af8acebc8aa93aa |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a9e66588190b71e0f60133a8995 |
completed | April 19, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69e510fc537c8190bbf11c8fd6e5764b |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516d0910481908fee176db0d9229b |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.