Triple
T23881704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels-North wastewater treatment plant |
E600219
|
entity |
| Predicate | typeOfWasteTreated |
P76505
|
FINISHED |
| Object | municipal wastewater |
—
|
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: municipal wastewater | Statement: [Brussels-North wastewater treatment plant, typeOfWasteTreated, municipal wastewater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWasteTreated Context triple: [Brussels-North wastewater treatment plant, typeOfWasteTreated, municipal wastewater]
-
A.
typeOfWasteCovered
chosen
Indicates the specific category or kind of waste material that is included or addressed within a given context, agreement, or regulation.
-
B.
wasteManagementFacility
Indicates a facility where waste materials are collected, processed, treated, or disposed of as part of a waste management system.
-
C.
treatsWastewaterFor
Indicates that one entity processes and purifies wastewater on behalf of another entity or location.
-
D.
wasteManagement
Indicates the handling, treatment, and disposal relationship between entities and the waste materials they produce or manage.
-
E.
containsWasteFrom
Indicates that one entity holds, includes, or is contaminated by waste originating from another entity.
- 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cc05e4d48190864fc47bdffa4ca9 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:24 p.m.