Triple
T8816363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinelândia |
E209786
|
entity |
| Predicate | urbanDevelopmentInfluencedBy |
P21809
|
FINISHED |
| Object | Parisian urbanism |
—
|
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: Parisian urbanism | Statement: [Cinelândia, urbanDevelopmentInfluencedBy, Parisian urbanism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanDevelopmentInfluencedBy Context triple: [Cinelândia, urbanDevelopmentInfluencedBy, Parisian urbanism]
-
A.
urbanDevelopment
Indicates the process or activities through which urban areas are planned, expanded, or transformed, including changes to infrastructure, land use, and the built environment.
-
B.
urbanDevelopmentLinkedTo
Indicates a relationship where changes or activities in urban development are causally or correlationally connected to another factor, condition, or outcome.
-
C.
urbanDevelopmentType
Indicates the specific category or nature of urban development associated with or applied to an entity (e.g., residential, commercial, mixed-use).
-
D.
hasUrbanInfluence
Indicates that one entity exerts or reflects the characteristics, impact, or style of an urban area on another entity.
-
E.
cityOfInfluence
chosen
Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600bd8a88190ad891a96201d796b |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:45 p.m.