Triple
T17441102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oak Alley Plantation |
E424652
|
entity |
| Predicate | liveOaksPlanted |
P127463
|
FINISHED |
| Object | early 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: early 18th century | Statement: [Oak Alley Plantation, liveOaksPlanted, early 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liveOaksPlanted Context triple: [Oak Alley Plantation, liveOaksPlanted, early 18th century]
-
A.
avenueOfOaksPlantedBetween
Indicates that a line or avenue of oak trees has been planted between two specified locations or features.
-
B.
treePlanting
Indicates the action of placing and establishing a tree in the ground at a chosen location.
-
C.
treesPlantedBy
Indicates that one entity is responsible for planting or causing the planting of another entity (typically trees).
-
D.
treePlantingCompleted
Indicates that the action of planting a tree has been fully carried out and finished.
-
E.
numberOfTrees
Indicates the count or quantity of trees associated with a given entity or context.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff75538819083f77756d39a1aaa |
completed | April 19, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:46 a.m.