Triple
T16224802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Carrera Lake |
E393817
|
entity |
| Predicate | hasSurfaceAreaInChile |
P122231
|
FINISHED |
| Object | ~970 km² |
—
|
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: ~970 km² | Statement: [General Carrera Lake, hasSurfaceAreaInChile, ~970 km²]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurfaceAreaInChile Context triple: [General Carrera Lake, hasSurfaceAreaInChile, ~970 km²]
-
A.
areaInChile
Indicates that a place, region, or geographic area is located within the national territory of Chile.
-
B.
isPartOfChileanTerritory
Indicates that one entity is geographically or politically included within the official territory of Chile.
-
C.
rankByAreaInChile
Indicates the relative ordering of entities based on their area size within the geographic boundaries of Chile.
-
D.
hasLandmarkArea
Indicates that a specified area is designated as the landmark area associated with a particular entity or location.
-
E.
statusInChile
Indicates the legal, social, or operational status that an entity holds specifically within the context of Chile.
- F. None of above. chosen
Provenance (4 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d24f9688190b670cfeb73332293 |
completed | April 17, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.