Triple
T6170395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heverlee War Cemetery |
E137679
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Heverlee
Heverlee is a suburb of Leuven in the Flemish Brabant province of Belgium, known for its residential areas, green spaces, and nearby university facilities.
|
E573691
|
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: Heverlee | Statement: [Heverlee War Cemetery, location, Heverlee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heverlee Context triple: [Heverlee War Cemetery, location, Heverlee]
-
A.
La Hulpe
La Hulpe is a small, affluent municipality in Walloon Brabant, Belgium, known for its green surroundings and the Château de La Hulpe within the Solvay Regional Estate.
-
B.
Overpelt
Overpelt is a town in the Belgian province of Limburg, known for its green surroundings and local waterways.
-
C.
Weyts
Weyts is a Dutch-language surname of Belgian origin, notably borne by Flemish politician Ben Weyts.
-
D.
Berghem
Berghem is a village in the Dutch province of North Brabant that is now administratively part of the municipality of Oss.
-
E.
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.
- 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: Heverlee Triple: [Heverlee War Cemetery, location, Heverlee]
Generated description
Heverlee is a suburb of Leuven in the Flemish Brabant province of Belgium, known for its residential areas, green spaces, and nearby university facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heverlee Target entity description: Heverlee is a suburb of Leuven in the Flemish Brabant province of Belgium, known for its residential areas, green spaces, and nearby university facilities.
-
A.
La Hulpe
La Hulpe is a small, affluent municipality in Walloon Brabant, Belgium, known for its green surroundings and the Château de La Hulpe within the Solvay Regional Estate.
-
B.
Overpelt
Overpelt is a town in the Belgian province of Limburg, known for its green surroundings and local waterways.
-
C.
Weyts
Weyts is a Dutch-language surname of Belgian origin, notably borne by Flemish politician Ben Weyts.
-
D.
Berghem
Berghem is a village in the Dutch province of North Brabant that is now administratively part of the municipality of Oss.
-
E.
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.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d8f97708190bebbc49c4a56c8a5 |
completed | March 22, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141ad559881909076b6ab34b14f2b |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c14889a3b48190bf5d523cbc261d7c |
completed | March 23, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c148de2d64819094d623e7f3b0f5f8 |
completed | March 23, 2026, 2:06 p.m. |
Created at: March 22, 2026, 4:18 p.m.