Triple
T4002652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Natural Gas |
E89449
|
entity |
| Predicate | utilityType |
P12566
|
FINISHED |
| Object | gas utility marketer |
—
|
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: gas utility marketer | Statement: [Georgia Natural Gas, utilityType, gas utility marketer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: utilityType Context triple: [Georgia Natural Gas, utilityType, gas utility marketer]
-
A.
typeOfUtility
chosen
Indicates that one entity is a specific kind or category of utility associated with another entity.
-
B.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
C.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
-
D.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
E.
typeOfElectricity
Indicates that one entity specifies the particular kind or category of electricity associated with 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8579288190940487ad07e38de0 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8f89f2881909b0965419d15d46c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.