Triple
T28021535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trail of the Jaguar |
E707700
|
entity |
| Predicate | exhibitEnvironment |
P125562
|
FINISHED |
| Object | simulated rainforest habitat |
—
|
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: simulated rainforest habitat | Statement: [Trail of the Jaguar, exhibitEnvironment, simulated rainforest habitat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitEnvironment Context triple: [Trail of the Jaguar, exhibitEnvironment, simulated rainforest habitat]
-
A.
hasExhibitEnvironment
chosen
Indicates that an exhibit is associated with or situated within a particular environment or setting in which it is displayed.
-
B.
displayEnvironment
Indicates that an entity presents or renders a particular environment or environmental setting for viewing or interaction.
-
C.
exhibitFor
Indicates a relationship where something is displayed, presented, or shown for the benefit, use, or consideration of a particular audience, purpose, or entity.
-
D.
exhibitLocation
Indicates the place or venue where something is displayed, presented, or put on exhibit.
-
E.
fieldOfExhibition
Indicates the domain or area in which something is publicly presented, displayed, or exhibited.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 8:10 p.m.