Triple
T31429438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LGV Rhin-Rhône |
E801753
|
entity |
| Predicate | enhancesConnectionBetween |
P88103
|
FINISHED |
| Object | Rhine corridor |
—
|
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: Rhine corridor | Statement: [LGV Rhin-Rhône, enhancesConnectionBetween, Rhine corridor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enhancesConnectionBetween Context triple: [LGV Rhin-Rhône, enhancesConnectionBetween, Rhine corridor]
-
A.
improvesConnectivityBetween
chosen
Indicates that one entity enhances, strengthens, or facilitates the quality or efficiency of the connection or communication between two other entities.
-
B.
connectsPreviouslySeparateSystems
Indicates that an entity establishes a link or integration between systems that were previously independent or isolated from one another.
-
C.
connectsNeighborhoodsIn
Indicates a relationship where something (such as a route, road, or service) links or provides direct access between two or more neighborhoods.
-
D.
connectsSectionsOf
Indicates a relationship where one entity serves as a link or bridge between two or more distinct sections of another entity or structure.
-
E.
connectsPartOf
Indicates a relationship where one entity serves to link or join a component to the larger whole of which that component is a part.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 8:56 p.m.