Triple
T6289915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ixelles |
E140988
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Bois de la Cambre
Bois de la Cambre is a large urban park and recreational green space on the edge of Brussels, Belgium, popular for walking, cycling, and outdoor leisure.
|
E583998
|
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: Bois de la Cambre | Statement: [Ixelles, locatedNear, Bois de la Cambre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bois de la Cambre Context triple: [Ixelles, locatedNear, Bois de la Cambre]
-
A.
Comines
Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
-
B.
Chaudfontaine
Chaudfontaine is a Belgian municipality in the Walloon region, noted for its mineral water springs and proximity to the city of Liège.
-
C.
Nivelles
Nivelles is a historic town in present-day Belgium known for its medieval architecture, including the Romanesque Collegiate Church of Saint Gertrude.
-
D.
Seneffe
Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
-
E.
Blegny
Blegny is a municipality in eastern Belgium known for its historic coal mining heritage and rural character.
- 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: Bois de la Cambre Triple: [Ixelles, locatedNear, Bois de la Cambre]
Generated description
Bois de la Cambre is a large urban park and recreational green space on the edge of Brussels, Belgium, popular for walking, cycling, and outdoor leisure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bois de la Cambre Target entity description: Bois de la Cambre is a large urban park and recreational green space on the edge of Brussels, Belgium, popular for walking, cycling, and outdoor leisure.
-
A.
Comines
Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
-
B.
Chaudfontaine
Chaudfontaine is a Belgian municipality in the Walloon region, noted for its mineral water springs and proximity to the city of Liège.
-
C.
Nivelles
Nivelles is a historic town in present-day Belgium known for its medieval architecture, including the Romanesque Collegiate Church of Saint Gertrude.
-
D.
Seneffe
Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
-
E.
Blegny
Blegny is a municipality in eastern Belgium known for its historic coal mining heritage and rural character.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641a6ecc8190a63be0e3f0344a3f |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e418a9e4819083f446b05175e904 |
completed | March 27, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69c5ee30471881909231aa113be0900e |
completed | March 27, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5ee84d93481908f6ce85d0e8c23b7 |
completed | March 27, 2026, 2:42 a.m. |
Created at: March 22, 2026, 4:26 p.m.