Triple
T11390787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chanctonbury Ring |
E269828
|
entity |
| Predicate | treePlanting |
P99050
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [Chanctonbury Ring, treePlanting, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treePlanting Context triple: [Chanctonbury Ring, treePlanting, 18th century]
-
A.
numberOfTrees
Indicates the count or quantity of trees associated with a given entity or context.
-
B.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
C.
plantedIn
Indicates that one entity has been placed or sown into another entity as its growing or containing medium.
-
D.
involvesPlant
Indicates that the relationship or action includes or pertains to a plant as a participating entity.
-
E.
plantedAt
Indicates that one entity has been planted or placed into the ground or a specific location at or in association with another 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:34 p.m.