Triple
T20677685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John F. Kennedy Arboretum |
E508202
|
entity |
| Predicate | hasTypeOfSpecimens |
P141009
|
FINISHED |
| Object | diverse botanical specimens |
—
|
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: diverse botanical specimens | Statement: [John F. Kennedy Arboretum, hasTypeOfSpecimens, diverse botanical specimens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfSpecimens Context triple: [John F. Kennedy Arboretum, hasTypeOfSpecimens, diverse botanical specimens]
-
A.
isTypeSpecimen
Indicates that an entity serves as the designated type specimen upon which the formal description and name of a taxon are based.
-
B.
hasNotableSpecimen
Indicates that an entity possesses or is associated with a specimen that is considered particularly significant, remarkable, or noteworthy.
-
C.
hasLivingSpecimens
Indicates that there currently exist one or more living examples or instances of the related entity.
-
D.
hasMultipleClaimedSpecimens
Indicates that an entity is associated with more than one specimen that has been formally claimed or recorded as belonging to it.
-
E.
collectedSpecimensIn
Indicates that an entity gathered or obtained specimens within a specified location or context.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea24f288190928f828e5f567257 |
completed | April 21, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 11:44 a.m.