Triple
T37199567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Morena de Jaén |
E921689
|
entity |
| Predicate | formsNaturalBoundaryAnd |
P155478
|
FINISHED |
| Object | Guadalquivir depression |
—
|
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: Guadalquivir depression | Statement: [Sierra Morena de Jaén, formsNaturalBoundaryAnd, Guadalquivir depression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsNaturalBoundaryAnd Context triple: [Sierra Morena de Jaén, formsNaturalBoundaryAnd, Guadalquivir depression]
-
A.
formsBoundaryType
Indicates that one entity serves as a specific type of boundary for another entity.
-
B.
naturalBoundaryFunction
Indicates a relationship where a function defines or characterizes the natural boundary or limit between regions, domains, or entities.
-
C.
hasNaturalBorder
chosen
Indicates that one entity’s boundary with another is formed or defined by a natural feature such as a river, mountain range, coastline, or desert.
-
D.
formsNaturalRegionWith
Indicates that two or more geographic entities together constitute or belong to the same continuous natural region or landscape unit.
-
E.
boundaryBasis
Indicates that one entity serves as a foundational or defining boundary for another entity.
- 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_69f76ea313a08190a54404cd1e47da90 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:15 p.m.