Triple
T20885391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molen Berg |
E514264
|
entity |
| Predicate | hasStoreysBase |
P113473
|
FINISHED |
| Object | 2-storey base |
—
|
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: 2-storey base | Statement: [Molen Berg, hasStoreysBase, 2-storey base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStoreysBase Context triple: [Molen Berg, hasStoreysBase, 2-storey base]
-
A.
hasBaseBuildingFloors
chosen
Indicates that something (such as a building or structure) has a specified number of floors in its base or main part.
-
B.
hasFloorsAboveGround
Indicates that an entity (typically a building or structure) possesses a specified number of floors that are located above ground level.
-
C.
hasBasement
Indicates that a building or structure includes a basement level as part of its physical layout.
-
D.
hasBasementFeature
Indicates that a property’s basement includes or is characterized by a specific feature or attribute.
-
E.
numberOfBasementLevels
Indicates the total count of basement levels associated with a given structure or property.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67c9d1c81908031eb77c124f119 |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:46 p.m.