Triple
T2793842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligerz |
E61988
|
entity |
| Predicate | hasVineyardTerraces |
P25137
|
FINISHED |
| Object | vineyards on slopes above Lake Biel |
—
|
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: vineyards on slopes above Lake Biel | Statement: [Ligerz, hasVineyardTerraces, vineyards on slopes above Lake Biel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVineyardTerraces Context triple: [Ligerz, hasVineyardTerraces, vineyards on slopes above Lake Biel]
-
A.
hasVineyards
chosen
Indicates that one entity possesses, contains, or is associated with vineyards used for growing grapevines.
-
B.
numberOfTerraces
Indicates the total count of terraces associated with a given entity.
-
C.
hasTerraceComplex
Indicates that one entity possesses or includes a terrace that is part of a larger, interconnected terrace structure or complex.
-
D.
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.
-
E.
hasTerrace
Indicates that one entity includes, features, or is equipped with a terrace as part of its 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddd33610819085ac7c5bec0e6af0 |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.