Triple
T19589460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lempa River basin |
E470191
|
entity |
| Predicate | hasManagementChallenge |
P2189
|
FINISHED |
| Object | balancing hydropower and environmental flows |
—
|
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: balancing hydropower and environmental flows | Statement: [Lempa River basin, hasManagementChallenge, balancing hydropower and environmental flows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManagementChallenge Context triple: [Lempa River basin, hasManagementChallenge, balancing hydropower and environmental flows]
-
A.
hasManagementIssue
Indicates that an entity is affected by, involved in, or characterized by a problem, deficiency, or concern related to its management or managerial practices.
-
B.
hasChallenge
chosen
Indicates that an entity faces, experiences, or is confronted with a particular difficulty, obstacle, or problem.
-
C.
facedChallenges
Indicates that an entity has encountered and had to deal with difficulties, obstacles, or adverse conditions.
-
D.
hasManagement
Indicates that one entity exercises managerial authority or oversight over another entity.
-
E.
hasManagementGoal
Indicates that an entity is associated with a specific management objective or target it is intended to achieve or support.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64054299481908d83c85cefdab075 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.