Triple
T29059466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chungará Lake |
E735483
|
entity |
| Predicate | inEcoregion |
P948
|
FINISHED |
| Object | Central Andean dry puna |
—
|
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: Central Andean dry puna | Statement: [Chungará Lake, inEcoregion, Central Andean dry puna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inEcoregion Context triple: [Chungará Lake, inEcoregion, Central Andean dry puna]
-
A.
ecoregion
chosen
Indicates that one entity is located within, associated with, or belongs to the same ecological region as another entity.
-
B.
ecoregionsInclude
Indicates that one ecoregion spatially contains or encompasses another ecoregion or area within its boundaries.
-
C.
isEcologicalZone
Indicates that one entity functions as, or is classified as, an ecological zone in relation to another entity.
-
D.
hasNumberOfEcoregions
Indicates the quantitative relationship specifying how many ecoregions are associated with a given entity.
-
E.
ecoregionCode
Indicates the specific ecological region identifier associated with an entity, linking it to a defined environmental or biogeographic zone.
- 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_69f077e85498819088b65186550da8cd |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66095794c81909288f4255c47923f |
completed | May 2, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10:14 a.m.