Triple
T1609052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calama |
E34573
|
entity |
| Predicate | geographicalSetting |
P3227
|
FINISHED |
| Object | Andean foothills |
—
|
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: Andean foothills | Statement: [Calama, geographicalSetting, Andean foothills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicalSetting Context triple: [Calama, geographicalSetting, Andean foothills]
-
A.
geographicContext
chosen
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
B.
hasGeographyCharacteristic
Indicates that an entity possesses a specific geographical feature, property, or attribute.
-
C.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
D.
countryOfSetting
Indicates the country in which the setting or context of something (such as a story, event, or work) takes place.
-
E.
mythologicalLocation
Indicates that the subject is a place or setting that exists within mythology, legends, or folklore rather than in historical or physical reality.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.