Triple
T4548729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flower Clock (Geneva) |
E110108
|
entity |
| Predicate | numberOfPlants |
P57653
|
FINISHED |
| Object | thousands of plants |
—
|
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: thousands of plants | Statement: [Flower Clock (Geneva), numberOfPlants, thousands of plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPlants Context triple: [Flower Clock (Geneva), numberOfPlants, thousands of plants]
-
A.
numberOfTrees
Indicates the count or quantity of trees associated with a given entity or context.
-
B.
numberOfCrops
Indicates the quantity or count of crops associated with a given entity or context.
-
C.
plantCollection
Indicates that one entity maintains or possesses a collection of plants, typically grouped or curated as a set.
-
D.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
E.
involvesPlant
Indicates that the relationship or action includes or pertains to a plant as a participating entity.
- F. None of above. chosen
Provenance (4 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57f272248190983ae439bd0ac0cc |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5220e40481908ca2d7e2c43d8531 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:05 p.m.