Triple
T4426771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuyahoga River |
E95227
|
entity |
| Predicate | hasImprovedWaterQuality |
P25366
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cuyahoga River, hasImprovedWaterQuality, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImprovedWaterQuality Context triple: [Cuyahoga River, hasImprovedWaterQuality, yes]
-
A.
waterQualityImprovedAfter
chosen
Indicates that the quality of water in a given context has become better following a specified event, time, or intervention.
-
B.
hasWaterQualityHistory
Indicates that an entity is associated with a record or series of records describing changes or measurements of its water quality over time.
-
C.
hasWaterQualityProgram
Indicates that an entity implements or participates in a program aimed at monitoring, managing, or improving water quality.
-
D.
waterQualityProtection
Indicates efforts, measures, or responsibilities aimed at preserving or improving the cleanliness, safety, and ecological integrity of water resources.
-
E.
waterQualityIssues
Indicates that there are problems or concerns with the condition, safety, or suitability of a water source.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554fb28081909018eaecc0c5c230 |
completed | March 13, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:30 p.m.