Triple
T19799903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quartier de Javel |
E475643
|
entity |
| Predicate | partOfUrbanPlanningZone |
P55551
|
FINISHED |
| Object | southwestern Paris development corridor |
—
|
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: southwestern Paris development corridor | Statement: [Quartier de Javel, partOfUrbanPlanningZone, southwestern Paris development corridor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfUrbanPlanningZone Context triple: [Quartier de Javel, partOfUrbanPlanningZone, southwestern Paris development corridor]
-
A.
partOfUrbanPlanBy
Indicates that something is included as a component or element within an urban plan created or overseen by a specified agent.
-
B.
partOfPlanningRegion
chosen
Indicates that one entity is included within, or belongs to, a larger designated planning region.
-
C.
partOfCityPlan
Indicates that something is included as a component or element within a broader city planning scheme or framework.
-
D.
isUrbanZoneFor
Indicates that a given area functions as an urban zone designated for a particular entity or purpose.
-
E.
partOfUrbanLayout
Indicates that one entity is a component or constituent element within the overall structure or organization of an urban area.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653cb865c81909696d2b37476f62f |
completed | April 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.