Triple
T18555127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torensluis |
E453482
|
entity |
| Predicate | hasArtworkLocation |
P1572
|
FINISHED |
| Object | western side of the bridge |
—
|
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: western side of the bridge | Statement: [Torensluis, hasArtworkLocation, western side of the bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtworkLocation Context triple: [Torensluis, hasArtworkLocation, western side of the bridge]
-
A.
hasPublicArtwork
chosen
Indicates that a location or entity possesses or features artwork that is accessible to the general public.
-
B.
hasGalleryLocation
Indicates that an entity is associated with a specific gallery location where it is displayed, stored, or made accessible.
-
C.
hasArtInstallation
Indicates that an entity features or contains an art installation as part of its space or composition.
-
D.
hasArtGallery
Indicates that one entity possesses, contains, or hosts an art gallery as part of its facilities or offerings.
-
E.
isIndoorArtwork
Indicates that an artwork is located or intended to be displayed indoors rather than outdoors.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53806046481908efbbe6909b2c68b |
completed | April 19, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:38 a.m.