Triple
T4960230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilibino |
E111386
|
entity |
| Predicate | energyRole |
P40849
|
FINISHED |
| Object | electricity supply for Bilibinsky District |
—
|
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: electricity supply for Bilibinsky District | Statement: [Bilibino, energyRole, electricity supply for Bilibinsky District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyRole Context triple: [Bilibino, energyRole, electricity supply for Bilibinsky District]
-
A.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
B.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
C.
energyContext
Indicates the situational or environmental conditions under which energy is produced, used, transferred, or transformed in relation to the entities involved.
-
D.
energyRegime
Indicates the specific range or mode of energy conditions under which a process, interaction, or system operates or is characterized.
-
E.
hasEnergyRole
chosen
Indicates that one entity plays a specific functional role in the production, distribution, management, or use of energy in relation to another entity.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.