Triple
T34913694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunken Garden, Kensington Palace |
E1006943
|
entity |
| Predicate | plantingTheme |
P164388
|
FINISHED |
| Object | white and pastel flowers in 2017 Diana tribute |
—
|
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: white and pastel flowers in 2017 Diana tribute | Statement: [Sunken Garden, Kensington Palace, plantingTheme, white and pastel flowers in 2017 Diana tribute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plantingTheme Context triple: [Sunken Garden, Kensington Palace, plantingTheme, white and pastel flowers in 2017 Diana tribute]
-
A.
plantingStyle
Indicates the method or arrangement used to plant entities in relation to each other or their environment.
-
B.
gardeningConcept
chosen
Indicates a conceptual or thematic relationship involving gardening, such as ideas, practices, or principles related to garden work or cultivation.
-
C.
treePlanting
Indicates the action of placing and establishing a tree in the ground at a chosen location.
-
D.
globalPlantings
Indicates a relationship where plantings or cultivation activities are distributed or carried out across multiple countries or worldwide locations.
-
E.
plantingTrend
Indicates a pattern or change over time in how frequently or extensively planting activities occur.
- 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_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.