Triple
T17028287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McCormick Bird House |
E413123
|
entity |
| Predicate | hasExhibitEnvironment |
P125562
|
FINISHED |
| Object | naturalistic vegetation |
—
|
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: naturalistic vegetation | Statement: [McCormick Bird House, hasExhibitEnvironment, naturalistic vegetation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExhibitEnvironment Context triple: [McCormick Bird House, hasExhibitEnvironment, naturalistic vegetation]
-
A.
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.
-
B.
hasExhibitionArea
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
-
C.
hasExhibitionVenue
Indicates that an exhibition is held or hosted at a particular venue.
-
D.
hasExhibitionModel
Indicates that one entity serves as the exhibition or display model associated with another entity.
-
E.
hasExhibitCategory
Indicates that an exhibit is associated with a particular category or type of exhibit.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d728148190b83367cd6fdefa50 |
completed | April 18, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:33 a.m.