Triple
T30974929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capannori |
E789203
|
entity |
| Predicate | wasteManagementGoal |
P95226
|
FINISHED |
| Object | landfill diversion maximization |
—
|
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: landfill diversion maximization | Statement: [Capannori, wasteManagementGoal, landfill diversion maximization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasteManagementGoal Context triple: [Capannori, wasteManagementGoal, landfill diversion maximization]
-
A.
wasteManagement
Indicates the handling, treatment, and disposal relationship between entities and the waste materials they produce or manage.
-
B.
environmentalProtectionGoal
chosen
Indicates a goal or objective specifically aimed at protecting, preserving, or improving the natural environment.
-
C.
wasteManagementFacility
Indicates a facility where waste materials are collected, processed, treated, or disposed of as part of a waste management system.
-
D.
environmentalImpactGoal
Indicates a goal or target set to influence, reduce, or manage the environmental impact associated with an entity or activity.
-
E.
typeOfWasteCovered
Indicates the specific category or kind of waste material that is included or addressed within a given context, agreement, or regulation.
- 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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:55 p.m.