Triple
T18898827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wingham Museum |
E462280
|
entity |
| Predicate | accessibleForFreeOrPaid |
P133718
|
FINISHED |
| Object | paid admission |
—
|
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: paid admission | Statement: [Wingham Museum, accessibleForFreeOrPaid, paid admission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessibleForFreeOrPaid Context triple: [Wingham Museum, accessibleForFreeOrPaid, paid admission]
-
A.
hasAdFreeTier
Indicates that an entity offers a version of its service or product without advertisements.
-
B.
availableFor
Indicates that one entity can be used, accessed, or allocated for the benefit, purpose, or use of another entity.
-
C.
accessibleOn
Indicates that one entity can be reached, used, or obtained through another entity (such as a platform, device, or medium).
-
D.
isAccessibleForFreeParking
Indicates that a location or facility can be used for parking without any cost.
-
E.
isFreeToRead
Indicates that access to the referenced content or resource does not require payment and can be read without cost.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c5277d788190a565794f7bd0e608 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
| PDg | Predicate description generation | batch_69e4afa745c081908da20a51ebc147b4 |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 11:58 a.m.