Triple
T29939501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haber–Bosch process |
E760454
|
entity |
| Predicate | hasDownside |
P39645
|
FINISHED |
| Object | environmental pollution from reactive nitrogen |
—
|
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: environmental pollution from reactive nitrogen | Statement: [Haber–Bosch process, hasDownside, environmental pollution from reactive nitrogen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDownside Context triple: [Haber–Bosch process, hasDownside, environmental pollution from reactive nitrogen]
-
A.
hasTradeoff
Indicates that one option or outcome involves a compromise in which gaining certain benefits requires accepting corresponding costs or disadvantages.
-
B.
disadvantage
Indicates that one entity is in a less favorable, weaker, or hindered position relative to another in a given context.
-
C.
flowsDownSideOf
Indicates that one entity moves or runs downward along the side or surface of another entity.
-
D.
hasRiskFrom
Indicates that one entity is exposed to or may suffer potential harm, loss, or adverse effects as a result of another entity.
-
E.
possibleSideEffect
chosen
Indicates that one entity may occur as a side effect or unintended consequence of another entity or action.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 29, 2026, 6:22 p.m.