Triple
T3374871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olbrich Botanical Gardens |
E71042
|
entity |
| Predicate | Bolz ConservatoryEnvironment |
P48057
|
FINISHED |
| Object | warm, humid environment |
—
|
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: warm, humid environment | Statement: [Olbrich Botanical Gardens, Bolz ConservatoryEnvironment, warm, humid environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Bolz ConservatoryEnvironment Context triple: [Olbrich Botanical Gardens, Bolz ConservatoryEnvironment, warm, humid environment]
-
A.
reopenedAsConservatoryIn
Indicates that something previously closed was opened again specifically as a conservatory in a given place or time.
-
B.
hasConservatoryOrigin
Indicates that something originates from, or is derived from, a conservatory (such as a music or arts conservatory).
-
C.
hasBiosphere
Indicates that an entity possesses or supports a biosphere, i.e., a region where living organisms and ecological processes exist.
-
D.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
E.
campusFacility
Indicates that one entity is a facility that is located on or belongs to a particular campus.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e5fc6c81909ff582611751096d |
completed | March 8, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69ada433059881908e46f38cc5f40a32 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69adaa518ac88190b64f949ace018ab7 |
completed | March 8, 2026, 4:56 p.m. |
Created at: March 8, 2026, 3:13 p.m.