Triple
T8578915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boulevard Montmartre at Night |
E203117
|
entity |
| Predicate | has perspective |
P8789
|
FINISHED |
| Object | street-level viewpoint |
—
|
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: street-level viewpoint | Statement: [The Boulevard Montmartre at Night, has perspective, street-level viewpoint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: has perspective Context triple: [The Boulevard Montmartre at Night, has perspective, street-level viewpoint]
-
A.
perspectiveOf
chosen
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
B.
useOfPerspective
Indicates that one entity adopts or applies a particular visual, narrative, or conceptual viewpoint in relation to another entity or context.
-
C.
settingOfPerspective
Indicates the contextual situation, environment, or circumstances within which a particular perspective or point of view is framed or expressed.
-
D.
hasPerception
Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
-
E.
introducesPerspective
Indicates that one entity presents or brings in a particular viewpoint, angle, or way of understanding regarding another entity or situation.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea9a0708819084cb8b8d84017864 |
completed | March 31, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.