Triple
T9910013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lommel |
E185115
|
entity |
| Predicate | borderWith |
P224
|
FINISHED |
| Object |
Dessel
Dessel is a municipality in the Belgian province of Antwerp, known for its role in the nuclear industry and its rural, wooded surroundings.
|
E829070
|
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: Dessel | Statement: [Lommel, borderWith, Dessel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dessel Context triple: [Lommel, borderWith, Dessel]
-
A.
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.
-
B.
Dinklage
Dinklage is a small town in Lower Saxony, Germany, known as the birthplace of Cardinal Clemens August Graf von Galen.
-
C.
Tessenderlo
Tessenderlo is a municipality in the Belgian province of Limburg, known for its chemical industry and location near the Albert Canal.
-
D.
Elsene
Elsene is a vibrant, multicultural municipality of Brussels in Belgium, known for its universities, art scene, and lively urban neighborhoods.
-
E.
Scherpenzeel
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
- 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: Dessel Triple: [Lommel, borderWith, Dessel]
Generated description
Dessel is a municipality in the Belgian province of Antwerp, known for its role in the nuclear industry and its rural, wooded surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dessel Target entity description: Dessel is a municipality in the Belgian province of Antwerp, known for its role in the nuclear industry and its rural, wooded surroundings.
-
A.
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.
-
B.
Dinklage
Dinklage is a small town in Lower Saxony, Germany, known as the birthplace of Cardinal Clemens August Graf von Galen.
-
C.
Tessenderlo
Tessenderlo is a municipality in the Belgian province of Limburg, known for its chemical industry and location near the Albert Canal.
-
D.
Elsene
Elsene is a vibrant, multicultural municipality of Brussels in Belgium, known for its universities, art scene, and lively urban neighborhoods.
-
E.
Scherpenzeel
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb51184d08190a0350f2722110811 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20db5979081909b8e292ac6bb7c2f |
completed | April 5, 2026, 7:22 a.m. |
| NEDg | Description generation | batch_69d21099fc188190b9f95bcf6977f3de |
completed | April 5, 2026, 7:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d211216e148190a0bb1b969feb8899 |
completed | April 5, 2026, 7:37 a.m. |
Created at: March 30, 2026, 8:41 p.m.