Triple
T37604459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comanche Peak Lake |
E935608
|
entity |
| Predicate | waterSourceUse |
P27518
|
FINISHED |
| Object | heat dissipation from reactors |
—
|
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: heat dissipation from reactors | Statement: [Comanche Peak Lake, waterSourceUse, heat dissipation from reactors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterSourceUse Context triple: [Comanche Peak Lake, waterSourceUse, heat dissipation from reactors]
-
A.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
B.
waterQualityUse
Indicates the way in which water quality is evaluated, classified, or applied for specific purposes or uses.
-
C.
waterSourceType
Indicates the kind or category of source from which water is obtained.
-
D.
waterSourceDedicatedTo
chosen
Indicates that a particular water source is specifically allocated or reserved for a designated use, group, or purpose.
-
E.
waterUse
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
Created at: May 3, 2026, 4:18 p.m.