Triple
T6410619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eigg Electric |
E127694
|
entity |
| Predicate | hasHydroCapacityApprox |
P29533
|
FINISHED |
| Object | 100 kW |
—
|
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: 100 kW | Statement: [Eigg Electric, hasHydroCapacityApprox, 100 kW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHydroCapacityApprox Context triple: [Eigg Electric, hasHydroCapacityApprox, 100 kW]
-
A.
hydroelectricStationCapacity
chosen
Indicates the maximum amount of electrical power that a hydroelectric station is capable of producing under specified conditions.
-
B.
hydropowerPotential
Indicates the amount of energy that could be generated from water resources at a given site or region under specified conditions.
-
C.
hasHydroelectricProject
Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
-
D.
isHydroelectricProjectOn
Indicates that a hydroelectric project is located on or situated along a specified water body or site.
-
E.
totalElectricalCapacity_MWe
Indicates the total electrical power generation capacity, measured in megawatts electric (MWe), that an entity can produce or supply.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cf81508190bc09e58ec45bc858 |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:41 p.m.