Triple
T33630999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guiers Vif River |
E861557
|
entity |
| Predicate | isPartOfNaturalBorderBetween |
P47901
|
FINISHED |
| Object | Isère department |
—
|
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: Isère department | Statement: [Guiers Vif River, isPartOfNaturalBorderBetween, Isère department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfNaturalBorderBetween Context triple: [Guiers Vif River, isPartOfNaturalBorderBetween, Isère department]
-
A.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
B.
isOnlyLandBorderBetween
Indicates that one entity serves as the sole land border connection between two other entities, with no additional land borders existing between them.
-
C.
geographicallyBorders
Indicates that two geographic entities share a common boundary or border.
-
D.
hasCountryBorderWith
Indicates that two countries share a common land or maritime boundary.
-
E.
isPoliticalBoundary
chosen
Indicates that one entity serves as a dividing line or border that separates distinct political or administrative jurisdictions.
- 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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff21cbd9108190a52c0ba42004c669 |
completed | May 9, 2026, noon |
| PD | Predicate disambiguation | batch_69ff1faea91881908c626c70bca5100a |
completed | May 9, 2026, 11:51 a.m. |
Created at: May 1, 2026, 1:41 a.m.