Triple
T9043713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum de Fundatie expansion Zwolle |
E216701
|
entity |
| Predicate | floorAreaIncrease |
P86051
|
FINISHED |
| Object | approximately 1000 square metres |
—
|
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: approximately 1000 square metres | Statement: [Museum de Fundatie expansion Zwolle, floorAreaIncrease, approximately 1000 square metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorAreaIncrease Context triple: [Museum de Fundatie expansion Zwolle, floorAreaIncrease, approximately 1000 square metres]
-
A.
roofArea
Indicates the total surface area covered by the roof of a structure.
-
B.
hasFloorArea
Indicates that an entity possesses a specified amount of floor space as a measurable area.
-
C.
fareArea
Indicates the geographic or zonal region within which a particular fare or pricing rule applies.
-
D.
area
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
-
E.
standardArea
Indicates that an entity has a designated or officially defined area or size that serves as a standard reference.
- F. None of above. chosen
Provenance (4 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b137cec8190bd1b812c10d9542a |
completed | April 1, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f4f1cb48190a025d1b3d8d7a790 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:09 p.m.