Triple
T32318680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Night of Museums |
E825709
|
entity |
| Predicate | costToVisitors |
P5902
|
FINISHED |
| Object | often free |
—
|
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: often free | Statement: [European Night of Museums, costToVisitors, often free]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: costToVisitors Context triple: [European Night of Museums, costToVisitors, often free]
-
A.
costToUser
chosen
Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
-
B.
consequenceForVisitors
Indicates a resulting effect, outcome, or implication that an action, rule, or condition has specifically for visitors.
-
C.
typicalVisitorsPerSeason
Indicates the usual number of visitors associated with each season for a given entity or location.
-
D.
costarWith
Indicates that two performers appear together as significant cast members in the same production, such as a film, television show, or stage performance.
-
E.
visitorService
Indicates a relationship where a service is provided specifically for or to visitors, such as assistance, information, or support during their visit.
- 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_69f34912d0c48190bba75770660320e9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bdbd2c4481909d1926842a931176 |
completed | May 3, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:46 a.m.