Triple
T12402285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Luxembourg |
E296286
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Niederanven
Niederanven is a commune in central Luxembourg known for its proximity to Luxembourg City and its mix of rural landscapes and residential areas.
|
E985050
|
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: Niederanven | Statement: [Canton of Luxembourg, containsAdministrativeTerritorialEntity, Niederanven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niederanven Context triple: [Canton of Luxembourg, containsAdministrativeTerritorialEntity, Niederanven]
-
A.
Zandhoven
Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
-
B.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Küdinghoven
Küdinghoven is a district of the Beuel borough in Bonn, Germany, known for its residential character and proximity to the Rhine.
-
D.
Valkenburg
Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
-
E.
Nederasselt
Nederasselt is a village in the Dutch province of Gelderland, located within the municipality of Heumen.
- 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: Niederanven Triple: [Canton of Luxembourg, containsAdministrativeTerritorialEntity, Niederanven]
Generated description
Niederanven is a commune in central Luxembourg known for its proximity to Luxembourg City and its mix of rural landscapes and residential areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niederanven Target entity description: Niederanven is a commune in central Luxembourg known for its proximity to Luxembourg City and its mix of rural landscapes and residential areas.
-
A.
Zandhoven
Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
-
B.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Küdinghoven
Küdinghoven is a district of the Beuel borough in Bonn, Germany, known for its residential character and proximity to the Rhine.
-
D.
Valkenburg
Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
-
E.
Nederasselt
Nederasselt is a village in the Dutch province of Gelderland, located within the municipality of Heumen.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d477004819095e65ef6f70c69d9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63efc0c7081909fe7d1818a081684 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6412345ac8190826f4fecb8055fb5 |
completed | May 2, 2026, 6:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64231606481909b8dd9d878670a6c |
completed | May 2, 2026, 6:28 p.m. |
Created at: April 8, 2026, 9:55 p.m.