Triple
T27510509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooks Camp Visitor Center |
E694394
|
entity |
| Predicate | hasExhibitTopic |
P18101
|
FINISHED |
| Object | brown bears |
—
|
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: brown bears | Statement: [Brooks Camp Visitor Center, hasExhibitTopic, brown bears]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExhibitTopic Context triple: [Brooks Camp Visitor Center, hasExhibitTopic, brown bears]
-
A.
hasExhibitCategory
Indicates that an exhibit is associated with a particular category or type of exhibit.
-
B.
hasExhibits
Indicates that an entity (such as a museum, gallery, or event) displays or presents certain items, artworks, or objects as part of its collection or show.
-
C.
hasExhibitionFocus
chosen
Indicates that an exhibition is primarily centered on, or thematically dedicated to, a particular subject, medium, or focus area.
-
D.
hasExhibitionScope
Indicates the thematic, geographic, temporal, or conceptual range and boundaries that define what an exhibition covers.
-
E.
hasExhibitsFrom
Indicates a relationship where one entity (typically a venue or collection) includes or displays exhibits originating from another entity (such as an artist, institution, or location).
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 1:15 p.m.