Triple
T1689168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Felipe de Aconcagua Province |
E36511
|
entity |
| Predicate | hasValleys |
P650
|
FINISHED |
| Object | agricultural valleys |
—
|
LITERAL FINISHED |
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: agricultural valleys | Statement: [San Felipe de Aconcagua Province, hasValleys, agricultural valleys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasValleys Context triple: [San Felipe de Aconcagua Province, hasValleys, agricultural valleys]
-
A.
hasValley
chosen
Indicates that one entity contains, features, or is characterized by the presence of a valley associated with the other entity.
-
B.
adjacentValley
Indicates that one valley is directly next to or bordering another valley.
-
C.
valleyType
Indicates the specific kind or classification of a valley that characterizes the relationship between the entities.
-
D.
containsHill
Indicates that one entity geographically includes or encompasses a hill within its area or boundaries.
-
E.
hasCliffs
Indicates that something possesses or is characterized by the presence of cliffs.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69aa61b71cec8190b273588051058ebd |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.