Triple
T25145127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Nicholas Chapel (Pont Saint-Bénézet) |
E629911
|
entity |
| Predicate | riverCrossedByAssociatedBridge |
P47919
|
FINISHED |
| Object | Rhône River |
—
|
NE NERFINISHED |
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: Rhône River | Statement: [Saint Nicholas Chapel (Pont Saint-Bénézet), riverCrossedByAssociatedBridge, Rhône River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverCrossedByAssociatedBridge Context triple: [Saint Nicholas Chapel (Pont Saint-Bénézet), riverCrossedByAssociatedBridge, Rhône River]
-
A.
riverCrossedByMaintainedBridges
Indicates that a river is spanned by one or more bridges that are actively maintained in usable condition.
-
B.
riverCrossingStructure
chosen
Indicates a structure that allows passage across a river, such as by spanning or traversing it.
-
C.
hasBridgeTypeCrossing
Indicates that a bridge is characterized by a specific type of crossing it provides or supports.
-
D.
hasBridgeCrossings
Indicates that one entity has one or more bridge structures that span across or connect over another entity (such as a road, river, or area).
-
E.
crossesStateBoundaryViaBridgeTo
Indicates that one entity crosses a state boundary to reach another entity specifically by traveling over a bridge.
- 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 6:29 a.m.