Triple
T470346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brouwersgracht |
E8540
|
entity |
| Predicate | hasNotableView |
P854
|
FINISHED |
| Object | view of canal houses and warehouses along the water |
—
|
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: view of canal houses and warehouses along the water | Statement: [Brouwersgracht, hasNotableView, view of canal houses and warehouses along the water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableView Context triple: [Brouwersgracht, hasNotableView, view of canal houses and warehouses along the water]
-
A.
hasView
chosen
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
-
B.
hasNotableFeature
Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
-
C.
notObservedIn
Indicates that a particular entity, event, or property has not been detected, recorded, or seen within a specified context, dataset, or environment.
-
D.
doesNotHave
Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
-
E.
visibleAt
Indicates that one entity can be seen or perceived from a specific location, viewpoint, or context at a given time.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efef8b788190857ebf66df562d59 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edecefb081908331ef8b9edf6636 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.