Triple
T5658926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maastricht Aachen Airport |
E124687
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Beek
Beek is a small municipality in the Dutch province of Limburg, known for hosting Maastricht Aachen Airport and its convenient location near the borders with Belgium and Germany.
|
E537822
|
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: Beek | Statement: [Maastricht Aachen Airport, locatedIn, Beek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beek Context triple: [Maastricht Aachen Airport, locatedIn, Beek]
-
A.
Zuunbeek
Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
-
B.
Vierlingsbeek
Vierlingsbeek is a village in the Dutch province of North Brabant, known for its rural character and location along the river Maas.
-
C.
Everbeek
Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
-
D.
Oudewater
Oudewater is a historic Dutch town in the province of Utrecht, known for its medieval architecture and its association with theologian Jacobus Arminius.
-
E.
Beek en Donk
Beek en Donk is a village in the province of North Brabant in the southern Netherlands, known for its rural character and proximity to other small settlements.
- 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: Beek Triple: [Maastricht Aachen Airport, locatedIn, Beek]
Generated description
Beek is a small municipality in the Dutch province of Limburg, known for hosting Maastricht Aachen Airport and its convenient location near the borders with Belgium and Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beek Target entity description: Beek is a small municipality in the Dutch province of Limburg, known for hosting Maastricht Aachen Airport and its convenient location near the borders with Belgium and Germany.
-
A.
Zuunbeek
Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
-
B.
Vierlingsbeek
Vierlingsbeek is a village in the Dutch province of North Brabant, known for its rural character and location along the river Maas.
-
C.
Everbeek
Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
-
D.
Oudewater
Oudewater is a historic Dutch town in the province of Utrecht, known for its medieval architecture and its association with theologian Jacobus Arminius.
-
E.
Beek en Donk
Beek en Donk is a village in the province of North Brabant in the southern Netherlands, known for its rural character and proximity to other small settlements.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022fd9b148190bd4aa9c43500949f |
completed | March 22, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04da37ffc819095f33e7e66e7c1d0 |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04edf30448190a60eda49b8b031a0 |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04fb62690819083327781cb857ccc |
completed | March 22, 2026, 8:23 p.m. |
Created at: March 22, 2026, 3:42 p.m.