Triple
T5536908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralco Dam |
E145183
|
entity |
| Predicate | hasEnvironmentalAssessment |
P36033
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ralco Dam, hasEnvironmentalAssessment, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnvironmentalAssessment Context triple: [Ralco Dam, hasEnvironmentalAssessment, yes]
-
A.
hasEnvironmentalImpactAssessment
chosen
Indicates that an entity is associated with, or subject to, an environmental impact assessment evaluating its potential effects on the environment.
-
B.
hasEnvironmentalMitigation
Indicates that an entity has associated measures, actions, or features intended to reduce, offset, or manage its negative environmental impacts.
-
C.
hasEnvironmentalPolicy
Indicates that an entity has established, adopted, or follows a formal policy or set of guidelines related to environmental practices or impacts.
-
D.
hasEnvironmentalRisk
Indicates that an entity poses, contributes to, or is associated with potential harm or adverse impact on the environment.
-
E.
hasEnvironmentalRegulationCompliance
Indicates that an entity adheres to or fulfills applicable environmental regulations, standards, or compliance requirements.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb07e748190bea74bbde2d7b8ba |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.