Triple
T23098690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaa-Iya del Gran Chaco National Park |
E575965
|
entity |
| Predicate | hasReptileDiversity |
P115156
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Kaa-Iya del Gran Chaco National Park, hasReptileDiversity, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReptileDiversity Context triple: [Kaa-Iya del Gran Chaco National Park, hasReptileDiversity, high]
-
A.
hasReptileSpecies
Indicates that one entity possesses, contains, or is associated with a reptile species as part of its characteristics or composition.
-
B.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
C.
faunaDiversity
chosen
Indicates the variety and richness of animal species present within a given area or ecosystem.
-
D.
hasBiodiversityFeature
Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
-
E.
containsVenomousSpecies
Indicates that the referenced entity includes within it one or more species that are venomous.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de71a088190b91918e6c4ea6e97 |
completed | April 29, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.