Triple
T32667476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City (series setting) |
E835195
|
entity |
| Predicate | hasDepictedFeatures |
P142666
|
FINISHED |
| Object | city streets |
—
|
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: city streets | Statement: [New York City (series setting), hasDepictedFeatures, city streets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDepictedFeatures Context triple: [New York City (series setting), hasDepictedFeatures, city streets]
-
A.
depictionIncludes
Indicates that a depiction (such as an image, illustration, or visual representation) contains or shows the referenced entity as part of its visual content.
-
B.
isDepictedVia
Indicates that one entity is represented, illustrated, or shown by means of another entity, such as a specific medium, style, or method of depiction.
-
C.
hasVariantDepiction
Indicates that one entity is depicted in an alternative or modified visual form relative to another depiction of the same subject.
-
D.
canBeDepictedAs
Indicates that one entity is capable of being visually represented or illustrated in the form or style of another entity.
-
E.
hasImageFeature
chosen
Indicates that an entity is associated with a specific visual characteristic or attribute extracted from an image.
- 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69feafa1ba0081909013800b85a9f613 |
completed | May 9, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69feae58d62c81909d031f3df8992883 |
completed | May 9, 2026, 3:47 a.m. |
Created at: May 1, 2026, 1:08 a.m.