Triple
T27852760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Montañita |
E704001
|
entity |
| Predicate | isLocatedInEcosystem |
P102573
|
FINISHED |
| Object | Amazon rainforest |
—
|
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: Amazon rainforest | Statement: [La Montañita, isLocatedInEcosystem, Amazon rainforest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInEcosystem Context triple: [La Montañita, isLocatedInEcosystem, Amazon rainforest]
-
A.
isWithinEcosystem
chosen
Indicates that one entity is located inside, and functionally part of, the ecological system defined by another entity.
-
B.
containsEcosystem
Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
-
C.
partOfEcosystem
Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
-
D.
terminatesInEcosystem
Indicates that a process, flow, or pathway comes to an end within a particular ecosystem.
-
E.
hasNearbyEcosystemType
Indicates that one entity has an ecosystem of a specified type located in its immediate surrounding 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_69ef840e614c8190a88cf9638c14a265 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 6:11 p.m.