Triple
T16384919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Nuclear Operating Company |
E397895
|
entity |
| Predicate | operatesUnit |
P17883
|
FINISHED |
| Object |
Farley Unit 2
Farley Unit 2 is a commercial nuclear power reactor unit at the Joseph M. Farley Nuclear Plant in Alabama, generating electricity for the regional grid.
|
E1211443
|
NE FINISHED |
How this triple was built (4 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: Farley Unit 2 | Statement: [Southern Nuclear Operating Company, operatesUnit, Farley Unit 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farley Unit 2 Context triple: [Southern Nuclear Operating Company, operatesUnit, Farley Unit 2]
-
A.
Farley Unit 1
Farley Unit 1 is a nuclear power reactor unit at the Joseph M. Farley Nuclear Generating Plant in Alabama, providing commercial electricity to the regional grid.
-
B.
Farley
Farley is a rural-residential suburb in the Maitland region of New South Wales, Australia.
-
C.
Farley
Farley is a surname most notably associated with Jim Farley, an American business executive and CEO of Ford Motor Company.
-
D.
FALY
FALY is the ICAO airport code assigned to Ladysmith Airport in South Africa.
-
E.
Farrell
Farrell is a surname of Irish origin borne by numerous notable individuals across fields such as entertainment, sports, and politics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Farley Unit 2 Triple: [Southern Nuclear Operating Company, operatesUnit, Farley Unit 2]
Generated description
Farley Unit 2 is a commercial nuclear power reactor unit at the Joseph M. Farley Nuclear Plant in Alabama, generating electricity for the regional grid.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farley Unit 2 Target entity description: Farley Unit 2 is a commercial nuclear power reactor unit at the Joseph M. Farley Nuclear Plant in Alabama, generating electricity for the regional grid.
-
A.
Farley Unit 1
Farley Unit 1 is a nuclear power reactor unit at the Joseph M. Farley Nuclear Generating Plant in Alabama, providing commercial electricity to the regional grid.
-
B.
Farley
Farley is a rural-residential suburb in the Maitland region of New South Wales, Australia.
-
C.
Farley
Farley is a surname most notably associated with Jim Farley, an American business executive and CEO of Ford Motor Company.
-
D.
FALY
FALY is the ICAO airport code assigned to Ladysmith Airport in South Africa.
-
E.
Farrell
Farrell is a surname of Irish origin borne by numerous notable individuals across fields such as entertainment, sports, and politics.
- F. None of above. chosen
Provenance (5 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263c60088190b85a8c02bc3ef315 |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c55bba481909bca6cc17e1dfcf5 |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003e602e9c8190893a95c14b787abb |
completed | May 10, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003ee98a5081909670b97efb269a71 |
completed | May 10, 2026, 8:16 a.m. |
Created at: April 10, 2026, 5:08 a.m.