Triple
T1842318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knowsley Hall |
E41202
|
entity |
| Predicate | notOpenToGeneralPublic |
P34060
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Knowsley Hall, notOpenToGeneralPublic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notOpenToGeneralPublic Context triple: [Knowsley Hall, notOpenToGeneralPublic, true]
-
A.
openedForPublic
Indicates that something has been made accessible or available for use, entry, or participation by the general public.
-
B.
isPublicMuseum
Indicates that an institution operates as a museum that is open and accessible to the general public, typically under public or non-profit ownership or management.
-
C.
notAccessibleBy
Indicates that one entity cannot be reached, used, or obtained through another specified entity or means.
-
D.
notClosedUnder
Indicates that applying the operation or relation to elements of a set can produce results that do not belong to that set, so the set is not closed under that operation or relation.
-
E.
meetsBehindClosedDoors
Indicates that one entity meets with another in a private, non-public setting where others are excluded from the interaction.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdb0d2c8190a67f584e67979fa3 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:33 p.m.