Triple
T18581758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gotelli Conifer Collection |
E454130
|
entity |
| Predicate | isOutdoorCollection |
P8618
|
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: [Gotelli Conifer Collection, isOutdoorCollection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOutdoorCollection Context triple: [Gotelli Conifer Collection, isOutdoorCollection, true]
-
A.
isOutdoor
chosen
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
-
B.
isOutdoorFriendly
Indicates that something is suitable for use, presence, or activity in outdoor environments without causing problems or undue risk.
-
C.
hasOutdoorResource
Indicates that an entity is associated with, provides, or includes access to an outdoor resource or facility.
-
D.
outdoorSection
Indicates that one entity is a section, area, or portion that is located outdoors or in an open-air environment relative to another entity.
-
E.
hasOutdoorFocus
Indicates a relationship where an entity is primarily concerned with, oriented toward, or specialized in outdoor environments, activities, or contexts.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543cffd34819090d636fd584f51db |
completed | April 19, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.