Triple
T617801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herrenhausen Palace |
E14443
|
entity |
| Predicate | hasGardenFeature |
P13651
|
FINISHED |
| Object | fountains |
—
|
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: fountains | Statement: [Herrenhausen Palace, hasGardenFeature, fountains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGardenFeature Context triple: [Herrenhausen Palace, hasGardenFeature, fountains]
-
A.
hasGardenType
Indicates that an entity possesses or is associated with a garden of a specified type.
-
B.
hasCourtyard
Indicates that one entity includes, features, or is characterized by the presence of a courtyard.
-
C.
hasLandscaping
chosen
Indicates that an entity possesses or is associated with designed outdoor grounds or landscape features.
-
D.
hasBotanicalGarden
Indicates that one entity possesses, contains, or includes a botanical garden as part of its facilities or domain.
-
E.
hasSoil
Indicates that one entity possesses, contains, or is associated with a particular type or instance of soil.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e2418c881908552d2c4a5006e97 |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfd15288190b4abdbd0bce3edcd |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.