Triple
T24723408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botanical Garden of Hohenheim |
E612367
|
entity |
| Predicate | hasResearchProjects |
P33630
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Botanical Garden of Hohenheim, hasResearchProjects, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResearchProjects Context triple: [Botanical Garden of Hohenheim, hasResearchProjects, true]
-
A.
hasResearchActivities
chosen
Indicates that an entity engages in, conducts, or is associated with research-related activities.
-
B.
researchProjectAt
Indicates that a research project is conducted, hosted, or based at a particular institution or organization.
-
C.
hasResearchComponent
Indicates that an entity includes, involves, or is associated with a research-related component or activity.
-
D.
hasResearchActivityLevel
Indicates the degree or intensity of research-related activity associated with an entity.
-
E.
hasTypeOfResearch
Indicates that an entity is associated with a particular category or kind of research it involves or conducts.
- 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 18, 2026, 3:41 a.m.