Triple
T570597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newark Castle, Nottinghamshire |
E13653
|
entity |
| Predicate | hasOnsiteMuseumOrExhibits |
P16135
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Newark Castle, Nottinghamshire, hasOnsiteMuseumOrExhibits, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnsiteMuseumOrExhibits Context triple: [Newark Castle, Nottinghamshire, hasOnsiteMuseumOrExhibits, yes]
-
A.
hasExhibits
Indicates that an entity (such as a museum, gallery, or event) displays or presents certain items, artworks, or objects as part of its collection or show.
-
B.
hasIndoorExhibits
Indicates that an entity provides or contains exhibits that are located indoors.
-
C.
hasInteractiveExhibits
Indicates that something contains exhibits designed for active participation or engagement by the audience.
-
D.
hasMuseumType
Indicates that an entity is classified as a museum of a specific type or category.
-
E.
museumAt
Indicates that an entity (such as an exhibit, artifact, or event) is located at or associated with a particular museum.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b057e708190b4e5975516e58993 |
completed | March 1, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69a494c2caac819086ab316fa49d324c |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a498dd579081908e02368a4c5efc8c |
completed | March 1, 2026, 7:51 p.m. |
Created at: March 1, 2026, 7:33 p.m.