Triple
T23627262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aburi |
E583500
|
entity |
| Predicate | botanicalGardenEstablished |
P74997
|
FINISHED |
| Object | Aburi Botanical Gardens established in 1890s |
—
|
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: Aburi Botanical Gardens established in 1890s | Statement: [Aburi, botanicalGardenEstablished, Aburi Botanical Gardens established in 1890s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: botanicalGardenEstablished Context triple: [Aburi, botanicalGardenEstablished, Aburi Botanical Gardens established in 1890s]
-
A.
botanicalGardenAdded
chosen
Indicates that a botanical garden has been established, incorporated, or newly recorded in relation to a specific place, organization, or dataset.
-
B.
hasBotanicalGarden
Indicates that one entity possesses, contains, or includes a botanical garden as part of its facilities or domain.
-
C.
hasBotanicalGardenArea_ha
Indicates that an entity possesses a botanical garden whose area is measured in hectares.
-
D.
plantedInCentury
Indicates that something was planted during a specified century.
-
E.
cityFoundedForPlant
Indicates that a city was established specifically to support, host, or serve a particular plant or industrial facility.
- 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1e4df248190ac38e4e025bd1140 |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:46 p.m.