Triple
T38607153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo electric power grid |
E934372
|
entity |
| Predicate | hasHVDCInterconnection |
P24733
|
FINISHED |
| Object | Sakuma Frequency Converter Station |
—
|
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: Sakuma Frequency Converter Station | Statement: [Tokyo electric power grid, hasHVDCInterconnection, Sakuma Frequency Converter Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHVDCInterconnection Context triple: [Tokyo electric power grid, hasHVDCInterconnection, Sakuma Frequency Converter Station]
-
A.
hasHVDCConverterStationNearby
Indicates that an entity is located close to a high-voltage direct current (HVDC) converter station.
-
B.
interconnectionMethodToOtherGrids
Indicates the method or mechanism by which one grid is physically or operationally interconnected to other grids.
-
C.
hasMajorInterconnection
Indicates that there exists a significant, primary, or high-capacity connection or linkage between two entities.
-
D.
hasGridConnection
Indicates that an entity is connected to an electrical grid, enabling it to receive or supply grid-based power.
-
E.
gridInterconnection
chosen
Indicates a connection or linkage between electrical grids that allows power exchange or coordinated operation.
- 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_69f76eccd6d081909ccce171011739a1 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.