Triple
T16078905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naugatuck River |
E390047
|
entity |
| Predicate | hasWaterQualityIssue |
P25191
|
FINISHED |
| Object | historic pollution |
—
|
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: historic pollution | Statement: [Naugatuck River, hasWaterQualityIssue, historic pollution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterQualityIssue Context triple: [Naugatuck River, hasWaterQualityIssue, historic pollution]
-
A.
waterQualityIssues
chosen
Indicates that there are problems or concerns with the condition, safety, or suitability of a water source.
-
B.
hasWaterManagementIssue
Indicates that an entity experiences problems or challenges related to the control, distribution, quality, or availability of water.
-
C.
hasWaterQualityHistory
Indicates that an entity is associated with a record or series of records describing changes or measurements of its water quality over time.
-
D.
hasWaterQualityImportance
Indicates that something plays a significant role in determining, influencing, or assessing the quality of water.
-
E.
hasImpairedWatersStatus
Indicates that a water body is classified as not meeting established water quality standards and is therefore considered impaired.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.