Triple
T24148030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scherrer Park |
E598442
|
entity |
| Predicate | hasTerraceStructure |
P27266
|
FINISHED |
| Object | terraced garden |
—
|
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: terraced garden | Statement: [Scherrer Park, hasTerraceStructure, terraced garden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTerraceStructure Context triple: [Scherrer Park, hasTerraceStructure, terraced garden]
-
A.
hasTerrace
chosen
Indicates that one entity includes, features, or is equipped with a terrace as part of its structure or property.
-
B.
hasTerraceComplex
Indicates that one entity possesses or includes a terrace that is part of a larger, interconnected terrace structure or complex.
-
C.
hasBalconyOrTerrace
Indicates that an entity includes or is associated with a balcony or a terrace as part of its features.
-
D.
hasTerracedWalls
Indicates that an entity possesses walls that are constructed in stepped or terraced levels rather than as a single continuous vertical surface.
-
E.
isTerracedHouse
Indicates that a dwelling is a terraced house, i.e., one in a continuous row of similar houses sharing side walls with neighboring units.
- 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e00c42288190843962f9476a94a1 |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:30 p.m.