Triple
T31328312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of the Sacred Heart in Koekelberg |
E798952
|
entity |
| Predicate | groundArea |
P175
|
FINISHED |
| Object | 16400 m² |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 16400 m² | Statement: [Basilica of the Sacred Heart in Koekelberg, groundArea, 16400 m²]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: groundArea Context triple: [Basilica of the Sacred Heart in Koekelberg, groundArea, 16400 m²]
-
A.
roofArea
Indicates the total surface area covered by the roof of a structure.
-
B.
area
chosen
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
-
C.
coveredArea
Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
-
D.
measurementArea
Indicates that a specified area is the spatial extent over which a measurement is taken or considered valid.
-
E.
floorAreaFeature
Indicates a relationship where a specific feature or characteristic is associated with the floor area of an entity or space.
- F. None of above.
Provenance (3 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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69ede2ea48190999b3d041f7bf55e |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:16 p.m.