Triple
T30958971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swomee-Swans |
E788755
|
entity |
| Predicate | consequenceOfPollution |
P83771
|
FINISHED |
| Object | Loss of ability to sing |
—
|
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: Loss of ability to sing | Statement: [Swomee-Swans, consequenceOfPollution, Loss of ability to sing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOfPollution Context triple: [Swomee-Swans, consequenceOfPollution, Loss of ability to sing]
-
A.
pollutionHealthEffect
chosen
Indicates the impact that a given source or level of pollution has on the health or well-being of affected entities.
-
B.
hasEnvironmentalImpactOn
Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
-
C.
consequenceOfDestruction
Indicates that one event, state, or condition occurs as a direct result of a prior act of destruction.
-
D.
pollutant
Indicates that one entity is a substance or factor that contaminates or degrades the quality of another entity or environment.
-
E.
environmentalIssue
Indicates that something is a problem or concern related to the natural environment, such as harm, risk, or negative impact on ecosystems or resources.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 29, 2026, 8:54 p.m.