Triple
T19038365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal Nature Museums |
E465935
|
entity |
| Predicate | typeOfVisitorExperience |
P5308
|
FINISHED |
| Object | interactive exhibits |
—
|
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: interactive exhibits | Statement: [Montreal Nature Museums, typeOfVisitorExperience, interactive exhibits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfVisitorExperience Context triple: [Montreal Nature Museums, typeOfVisitorExperience, interactive exhibits]
-
A.
hasTypeOfVisitorExperience
chosen
Indicates that an entity is associated with a particular category or kind of visitor experience it provides or involves.
-
B.
providesExperienceOf
Indicates that one entity enables or delivers the experience of another entity to someone or something.
-
C.
typicalVisitType
Indicates the usual or most common category of visit associated with an entity or event.
-
D.
intendedRiderExperience
Indicates the type or quality of experience that is planned or designed for a rider in the context of a ride or transportation service.
-
E.
visitorPractice
Indicates that a visitor engages in or performs a particular practice, activity, or routine.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7fed99c81909495797c604db044 |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4a3001e388190aa6057266514e75a |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.