Triple
T25338290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fra Pipervika |
E635336
|
entity |
| Predicate | depictsBuiltEnvironment |
P113268
|
FINISHED |
| Object | harbor area |
—
|
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: harbor area | Statement: [Fra Pipervika, depictsBuiltEnvironment, harbor area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsBuiltEnvironment Context triple: [Fra Pipervika, depictsBuiltEnvironment, harbor area]
-
A.
depictsBuildingType
Indicates that one entity visually represents or portrays a specific type or category of building associated with another entity.
-
B.
builtEnvironment
Indicates that something is part of, related to, or characteristic of human-made physical surroundings such as buildings, infrastructure, and other constructed spaces.
-
C.
depictsNeighborhood
chosen
Indicates that one entity visually represents or portrays the neighborhood or local area associated with another entity.
-
D.
urbanLandscapeCharacterizedBy
Indicates that an urban landscape possesses or is defined by specific distinguishing features, qualities, or elements.
-
E.
urbanDesignElement
Indicates a relationship where something functions as a designed feature or component that shapes the form, use, or experience of an urban environment.
- 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 1:32 p.m.