Triple
T34933597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Monument (Christopher Wren column) |
E1007506
|
entity |
| Predicate | hasViewingGalleryProtection |
P193215
|
FINISHED |
| Object | metal cage |
—
|
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: metal cage | Statement: [The Monument (Christopher Wren column), hasViewingGalleryProtection, metal cage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewingGalleryProtection Context triple: [The Monument (Christopher Wren column), hasViewingGalleryProtection, metal cage]
-
A.
hasViewingGallery
Indicates that one entity includes or provides a designated area from which another entity can be observed or viewed.
-
B.
hasGallery
Indicates that one entity possesses, contains, or is associated with a gallery, such as a collection or display space.
-
C.
hasGalleryLevel
Indicates that an entity is associated with a specific gallery level or floor within a building or exhibition space.
-
D.
hasViewingConditions
Indicates that one entity is associated with specific viewing conditions under which it is meant to be observed or evaluated.
-
E.
hasLandscapeProtection
Indicates that an area or object is subject to legal or formal measures aimed at preserving its landscape or scenic character.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
| PDg | Predicate description generation | batch_69fd3a6905b88190ae12b43576f4cc63 |
completed | May 8, 2026, 1:20 a.m. |
Created at: May 3, 2026, 4 p.m.