Triple
T38428105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parisian Plaine |
E903417
|
entity |
| Predicate | historicalRelationToParis |
—
|
GENERATED |
| Object | food supply area for Paris |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalRelationToParis Context triple: [Parisian Plaine, historicalRelationToParis, food supply area for Paris]
-
A.
relationshipToParis
Indicates the specific type of connection or association an entity has with Paris.
-
B.
historicalCityCorrespondence
Indicates a relationship where one city historically corresponds to, or is considered the historical counterpart or predecessor of, another city.
-
C.
timeInHistoryOfFrance
Indicates a temporal relationship specifying that something occurs during a particular period in the historical timeline of France.
-
D.
associatedWithCityHistory
chosen
Indicates a relationship where something is connected or relevant to the historical events, development, or heritage of a particular city.
-
E.
chronologicalRelationWithinCity
Indicates a temporal ordering between events or entities that occur within the same city.
- F. None of above.
Provenance (1 batch)
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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.