Triple
T10661950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Payunia Provincial Reserve |
E251246
|
entity |
| Predicate | notableMammalPopulation |
P965
|
FINISHED |
| Object | large guanaco herds |
—
|
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: large guanaco herds | Statement: [Payunia Provincial Reserve, notableMammalPopulation, large guanaco herds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMammalPopulation Context triple: [Payunia Provincial Reserve, notableMammalPopulation, large guanaco herds]
-
A.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
B.
notableSpecies
chosen
Indicates that the subject is known for, or significantly associated with, the specified species.
-
C.
containsMostMammalSpecies
Indicates that one entity includes a greater number of mammal species within it than any comparable entity in the given context.
-
D.
notableFaunaRegion
Indicates that a region is known for or characteristically associated with particular notable animal species.
-
E.
notableSpeciesGroup
Indicates that an entity is a significant or characteristic member of a particular species group associated with another entity.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e018d1e881909b8e62682104e842 |
completed | April 8, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:08 p.m.