Triple
T7721912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkman, Iowa |
E175031
|
entity |
| Predicate | electricPowerGridRegion |
P65282
|
FINISHED |
| Object | Midwestern U.S. grid |
—
|
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: Midwestern U.S. grid | Statement: [Kirkman, Iowa, electricPowerGridRegion, Midwestern U.S. grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electricPowerGridRegion Context triple: [Kirkman, Iowa, electricPowerGridRegion, Midwestern U.S. grid]
-
A.
electricityMarketedBy
Indicates that one entity is responsible for marketing, promoting, or selling electricity provided by another entity.
-
B.
electrificationCoverage
Indicates the extent to which a given area, system, or population is supplied with access to electrical power.
-
C.
electrificationTerminusOf
Indicates that a location or point serves as the end of an electrified section of a route, line, or network.
-
D.
networkRegion
chosen
Indicates that an entity belongs to, operates within, or is associated with a specific network-defined geographic or logical region.
-
E.
gridConnectionCountry
Indicates that an entity’s electrical grid is connected to, or integrated with, the power grid of a specified country.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:05 p.m.