Triple
T12132186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Brussels Metro) |
E288959
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Beekkant
Beekkant is a Brussels Metro station that functions as a key interchange point in the western part of the city’s rapid transit network.
|
E998718
|
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: Beekkant | Statement: [Line 2 (Brussels Metro), servesStation, Beekkant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beekkant Context triple: [Line 2 (Brussels Metro), servesStation, Beekkant]
-
A.
Beekdaelen
Beekdaelen is a municipality in the Dutch province of Limburg, known for its rural landscape, historic villages, and rolling hills.
-
B.
Schipbeek
Schipbeek is a small river in the eastern Netherlands that flows through the provinces of Overijssel and Gelderland before joining the IJssel.
-
C.
Zandkreek
Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
-
D.
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.
-
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: Beekkant Triple: [Line 2 (Brussels Metro), servesStation, Beekkant]
Generated description
Beekkant is a Brussels Metro station that functions as a key interchange point in the western part of the city’s rapid transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beekkant Target entity description: Beekkant is a Brussels Metro station that functions as a key interchange point in the western part of the city’s rapid transit network.
-
A.
Beekdaelen
Beekdaelen is a municipality in the Dutch province of Limburg, known for its rural landscape, historic villages, and rolling hills.
-
B.
Schipbeek
Schipbeek is a small river in the eastern Netherlands that flows through the provinces of Overijssel and Gelderland before joining the IJssel.
-
C.
Zandkreek
Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
-
D.
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.
-
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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158b34648190b5eecdf9b07fbb3f |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6717defe48190bc63b83e2c276ebc |
completed | May 2, 2026, 9:49 p.m. |
| NEDg | Description generation | batch_69f6749c2ddc8190945270e6e5b210dd |
completed | May 2, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675c42fec8190b60751c0db88f3b6 |
completed | May 2, 2026, 10:08 p.m. |
Created at: April 8, 2026, 9:49 p.m.