Triple
T6342132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Halle-Vilvoorde |
E142651
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Lennik
Lennik is a municipality in the Flemish Brabant province of Belgium, known for its rural character and historic castle of Gaasbeek.
|
E586238
|
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: Lennik | Statement: [Arrondissement of Halle-Vilvoorde, hasMunicipality, Lennik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lennik Context triple: [Arrondissement of Halle-Vilvoorde, hasMunicipality, Lennik]
-
A.
Lenno
Lenno is a picturesque village on the western shore of Lake Como in northern Italy, known for its scenic waterfront and historic villas.
-
B.
Lukin
Lukin is a component or module associated with the "No Code" system, likely serving as a distinct functional part within that broader platform.
-
C.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
-
D.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
E.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
- 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: Lennik Triple: [Arrondissement of Halle-Vilvoorde, hasMunicipality, Lennik]
Generated description
Lennik is a municipality in the Flemish Brabant province of Belgium, known for its rural character and historic castle of Gaasbeek.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lennik Target entity description: Lennik is a municipality in the Flemish Brabant province of Belgium, known for its rural character and historic castle of Gaasbeek.
-
A.
Lenno
Lenno is a picturesque village on the western shore of Lake Como in northern Italy, known for its scenic waterfront and historic villas.
-
B.
Lukin
Lukin is a component or module associated with the "No Code" system, likely serving as a distinct functional part within that broader platform.
-
C.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
-
D.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
E.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0674445748190bce2d638048be77c |
completed | March 22, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6043afb4081908d480ad868625909 |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c605eb80308190b2c2f0d1f35b060d |
completed | March 27, 2026, 4:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6065044908190b2ba71490a3bae54 |
completed | March 27, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4:30 p.m.