Triple
T12551379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HidroAysén |
E300103
|
entity |
| Predicate | numberOfPlannedDams |
P46607
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [HidroAysén, numberOfPlannedDams, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPlannedDams Context triple: [HidroAysén, numberOfPlannedDams, 5]
-
A.
numberOfDams
chosen
Indicates the quantity of dams associated with or present in a given entity or context.
-
B.
firstDamsCompleted
Indicates that the referenced dams are the earliest ones to have been completed within a given context, such as a region, project, or time period.
-
C.
hasHydroelectricProject
Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
-
D.
oneOfLargestRunOfRiverDamsIn
Indicates that a dam is among the largest run-of-river dams located within a specified geographic area.
-
E.
reservoirCreatedByDam
Indicates that a reservoir exists as a result of being formed or impounded by a specific dam.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:58 p.m.