Triple
T21616572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemper Project power plant |
E533457
|
entity |
| Predicate | designedToCapture |
P144790
|
FINISHED |
| Object | carbon dioxide |
—
|
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: carbon dioxide | Statement: [Kemper Project power plant, designedToCapture, carbon dioxide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToCapture Context triple: [Kemper Project power plant, designedToCapture, carbon dioxide]
-
A.
capturedBy
Indicates that one entity has been seized, taken into control, or otherwise apprehended by another entity.
-
B.
capturedUsing
Indicates that something was recorded, obtained, or documented by means of a specified tool, method, or device.
-
C.
capturedFor
Indicates that one entity has been taken into custody, control, or possession specifically for the benefit, use, or purpose of another entity.
-
D.
capturedEquipment
Indicates that one party has taken possession of another party’s equipment, typically as a result of conflict, competition, or enforcement.
-
E.
aimsToCapture
Indicates an intention or effort by one entity to take control of, seize, or gain possession of another entity.
- F. None of above. chosen
Provenance (4 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bab865081908bc7d7b1824415ac |
completed | April 27, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:33 p.m.