Triple
T4789408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiergarten |
E106564
|
entity |
| Predicate | significantRenovation |
P3322
|
FINISHED |
| Object | 19th century redesign by Peter Joseph Lenné |
—
|
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: 19th century redesign by Peter Joseph Lenné | Statement: [Tiergarten, significantRenovation, 19th century redesign by Peter Joseph Lenné]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantRenovation Context triple: [Tiergarten, significantRenovation, 19th century redesign by Peter Joseph Lenné]
-
A.
brokeGroundForRenovation
Indicates that an entity initiated construction work to renovate or significantly upgrade another entity or site.
-
B.
hasRenovation
chosen
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
C.
renovationFeature
Indicates that an entity has a specific renovation-related characteristic, element, or improvement associated with it.
-
D.
renovationResult
Indicates the outcome or state produced by a renovation process, linking the renovation activity to its resulting condition or product.
-
E.
renovationPurpose
Indicates that an entity is being renovated with a specific intended goal, use, or outcome in mind.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65db847081908f5456724a2bdc65 |
completed | March 20, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.