Triple
T36561800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allakaket, Alaska |
E901856
|
entity |
| Predicate | electricityCost |
P115145
|
FINISHED |
| Object | high relative to urban Alaska |
—
|
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: high relative to urban Alaska | Statement: [Allakaket, Alaska, electricityCost, high relative to urban Alaska]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electricityCost Context triple: [Allakaket, Alaska, electricityCost, high relative to urban Alaska]
-
A.
electricityUse
Indicates the amount or pattern of electrical energy consumed by an entity during a specified period or activity.
-
B.
electricityHistory
Indicates that there is a recorded history or log of past electricity-related data, events, or usage associated with the entities.
-
C.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
D.
hasTimeVaryingElectricityPrices
Indicates that the electricity prices associated with an entity change over time rather than remaining constant.
-
E.
economicCost
chosen
Indicates the financial burden, expense, or resource expenditure associated with an action, event, or relationship between entities.
- 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff76ac40988190a34d858b5472ee2b |
completed | May 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69ff760a90948190a12fcb80e6e3e14b |
completed | May 9, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:11 p.m.