Triple
T4147715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junín Region |
E89825
|
entity |
| Predicate | includesEcosystem |
P1888
|
FINISHED |
| Object | high Andean grasslands |
—
|
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 Andean grasslands | Statement: [Junín Region, includesEcosystem, high Andean grasslands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesEcosystem Context triple: [Junín Region, includesEcosystem, high Andean grasslands]
-
A.
containsEcosystem
chosen
Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
-
B.
supportsEcosystemType
Indicates that one entity provides suitable conditions or resources necessary to sustain or maintain a particular type of ecosystem.
-
C.
hasEcosystemService
Indicates that one entity provides, supports, or is associated with an ecosystem service that benefits another entity or the environment.
-
D.
partOfEcosystem
Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
-
E.
containsEcologicalTypes
Indicates that one entity includes or encompasses specific ecological types or categories within it.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af033ef6648190adde17f943d89c78 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018c101081909070da5b11e5eb3d |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:43 p.m.