Triple
T7118844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern China Collection |
E165892
|
entity |
| Predicate | hasInstitutionTypeOfHost |
P55410
|
FINISHED |
| Object | botanic garden |
—
|
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: botanic garden | Statement: [Southern China Collection, hasInstitutionTypeOfHost, botanic garden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstitutionTypeOfHost Context triple: [Southern China Collection, hasInstitutionTypeOfHost, botanic garden]
-
A.
hostsInstitution
Indicates that one entity serves as the hosting location or organizing body for an institution.
-
B.
hasPrimaryInstitutionType
chosen
Indicates that an entity’s main or principal institutional classification or category is of a specified type.
-
C.
hasInstitutions
Indicates that one entity possesses, contains, or is associated with one or more institutions.
-
D.
supportsInstitutionType
Indicates that one entity provides backing, resources, or endorsement specifically for a particular type or category of institution.
-
E.
hasLocalInstitution
Indicates that a given place or region possesses or hosts an institution that operates locally within its boundaries.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e61b8a288190a165ea25adfaaef5 |
completed | March 27, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.