Triple
T37849383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helene Strybing |
E943997
|
entity |
| Predicate | hasArboretumNamedAfter |
P3481
|
FINISHED |
| Object | Strybing Arboretum |
—
|
NE NERFINISHED |
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: Strybing Arboretum | Statement: [Helene Strybing, hasArboretumNamedAfter, Strybing Arboretum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArboretumNamedAfter Context triple: [Helene Strybing, hasArboretumNamedAfter, Strybing Arboretum]
-
A.
hasParkNamedAfter
Indicates that one entity has a park that is named in honor of, or after, another entity.
-
B.
hasHeritageSiteNamedAfter
Indicates that one entity has a heritage site that is named after another entity.
-
C.
hasBotanicalGarden
chosen
Indicates that one entity possesses, contains, or includes a botanical garden as part of its facilities or domain.
-
D.
hasIslandNamedAfter
Indicates that an entity has an island that is named after it.
-
E.
hasPlaceNamedAfter
Indicates that one place is named in honor of or derived from the name of another place.
- 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_69f76eed4d9c81908b1b71ba9e3b61fe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69feaa483fcc81909d8a46b38a8717bf |
completed | May 9, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69fea8c9d45c81908ccc8619e5fefac1 |
completed | May 9, 2026, 3:23 a.m. |
Created at: May 3, 2026, 4:19 p.m.