Triple
T2671715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels Metro |
E55760
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Merode
Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
|
E296271
|
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: Merode | Statement: [Brussels Metro, hasStation, Merode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merode Context triple: [Brussels Metro, hasStation, Merode]
-
A.
Oudenarde
Oudenarde (Oudenaarde) is a historic town in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
-
B.
Dendermonde
Dendermonde is a historic city in East Flanders, Belgium, known for its medieval architecture and UNESCO-recognized Ros Beiaard procession.
-
C.
Stavelot
Stavelot is a historic town in the Ardennes region of Wallonia, Belgium, known for its former Benedictine abbey and traditional Laetare carnival.
-
D.
Horebeke
Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
-
E.
Michelbeke
Michelbeke is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural character and cycling-friendly landscape.
- 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: Merode Triple: [Brussels Metro, hasStation, Merode]
Generated description
Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Merode Target entity description: Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
-
A.
Oudenarde
Oudenarde (Oudenaarde) is a historic town in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
-
B.
Dendermonde
Dendermonde is a historic city in East Flanders, Belgium, known for its medieval architecture and UNESCO-recognized Ros Beiaard procession.
-
C.
Stavelot
Stavelot is a historic town in the Ardennes region of Wallonia, Belgium, known for its former Benedictine abbey and traditional Laetare carnival.
-
D.
Horebeke
Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
-
E.
Michelbeke
Michelbeke is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural character and cycling-friendly landscape.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98f98908190b5c6fb38d3d4367a |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc02acc048190812d7d2d8b59058a |
completed | March 10, 2026, 6:54 a.m. |
| NEDg | Description generation | batch_69afc0a3dcb4819098e922989fb8165c |
completed | March 10, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc10deaa4819082ad29756b651480 |
completed | March 10, 2026, 6:58 a.m. |
Created at: March 6, 2026, 9:54 p.m.