Triple
T25709163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ergene |
E644680
|
entity |
| Predicate | riverPollutionIssue |
P98276
|
FINISHED |
| Object | Ergene River 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: Ergene River pollution | Statement: [Ergene, riverPollutionIssue, Ergene River pollution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverPollutionIssue Context triple: [Ergene, riverPollutionIssue, Ergene River pollution]
-
A.
waterQualityIssues
Indicates that there are problems or concerns with the condition, safety, or suitability of a water source.
-
B.
riverConcerned
Indicates a relationship in which a river is the primary focus or subject of concern, attention, or impact in a given context.
-
C.
hasPollutionIssue
chosen
Indicates that an entity is affected by, associated with, or characterized by a pollution-related problem or concern.
-
D.
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.
-
E.
hydrologicalIssue
Indicates a relationship where one entity is the subject or source of a problem, concern, or challenge related to water movement, distribution, or quality in the hydrological system.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 21, 2026, 9:09 p.m.