Triple
T18940693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conguillío Lake |
E463371
|
entity |
| Predicate | isInNationalParkNetwork |
P107845
|
FINISHED |
| Object | Chilean national parks |
—
|
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: Chilean national parks | Statement: [Conguillío Lake, isInNationalParkNetwork, Chilean national parks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInNationalParkNetwork Context triple: [Conguillío Lake, isInNationalParkNetwork, Chilean national parks]
-
A.
withinNationalPark
Indicates that one entity is located inside the geographic boundaries of a national park designated by another entity.
-
B.
hasNationalParkServicePresence
Indicates that the National Park Service operates, manages, or maintains an official presence at the referenced location or entity.
-
C.
hasNationalParkSite
Indicates that a location, region, or jurisdiction contains or is home to at least one designated national park site.
-
D.
locatedInNationalOrProvincialPark
chosen
Indicates that one entity is situated within the boundaries of a national or provincial park.
-
E.
locatedInNationalLakeshore
Indicates that one place or feature is situated within the boundaries of a designated national lakeshore area.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3eba60081909c9027d1988f88ad |
completed | April 20, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 11:59 a.m.