Triple
T22825465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monet Room |
E565644
|
entity |
| Predicate | visitorExperienceGoal |
P149882
|
FINISHED |
| Object | immersion in Monet’s Water Lilies |
—
|
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: immersion in Monet’s Water Lilies | Statement: [Monet Room, visitorExperienceGoal, immersion in Monet’s Water Lilies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitorExperienceGoal Context triple: [Monet Room, visitorExperienceGoal, immersion in Monet’s Water Lilies]
-
A.
visitorCenter
Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
-
B.
visitorPractice
Indicates that a visitor engages in or performs a particular practice, activity, or routine.
-
C.
visitorService
Indicates a relationship where a service is provided specifically for or to visitors, such as assistance, information, or support during their visit.
-
D.
visitorDemand
Indicates a relationship where the level or nature of demand expressed by visitors for something (e.g., a service, location, or resource) is specified or quantified.
-
E.
visitorUse
Indicates that an entity is being used, accessed, or engaged with by a visitor or temporary user.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dd47ea48190b32b2a7d37d95654 |
completed | April 29, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:34 p.m.