Triple
T26979808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillbach |
E679567
|
entity |
| Predicate | waterTemperatureInfluencedBy |
P170639
|
FINISHED |
| Object | power plant cooling water discharges |
—
|
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: power plant cooling water discharges | Statement: [Gillbach, waterTemperatureInfluencedBy, power plant cooling water discharges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterTemperatureInfluencedBy Context triple: [Gillbach, waterTemperatureInfluencedBy, power plant cooling water discharges]
-
A.
waterTemperatureType
Indicates the classification or category of a water body’s temperature (e.g., cold, warm, hot) associated with an entity or context.
-
B.
waterMassInfluence
Indicates how the presence, amount, or distribution of water mass affects or modifies another entity or system.
-
C.
waterTemperatureComparedTo
Indicates how the temperature of one body or sample of water compares to the temperature of another.
-
D.
waterTemperatureAtSource
Indicates the temperature of water measured at its point of origin or source location.
-
E.
waterTemperatureForSpawning
Indicates the specific water temperature conditions required or suitable for an organism to begin or successfully carry out spawning.
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f693ffa7908190aa4c451b16df9be6 |
completed | May 3, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 27, 2026, 6:45 a.m.