Triple
T17588906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commissione Territorio, ambiente, beni ambientali |
E428392
|
entity |
| Predicate | hasSubAreaOfCompetence |
P18508
|
FINISHED |
| Object | regional planning policies |
—
|
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: regional planning policies | Statement: [Commissione Territorio, ambiente, beni ambientali, hasSubAreaOfCompetence, regional planning policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubAreaOfCompetence Context triple: [Commissione Territorio, ambiente, beni ambientali, hasSubAreaOfCompetence, regional planning policies]
-
A.
competenceArea
chosen
Indicates that one entity has a particular domain, field, or area in which it possesses competence, expertise, or responsibility.
-
B.
hasCompetence
Indicates that an entity possesses the ability, skill, or qualification to perform a specific task or function effectively.
-
C.
definesCompetenceOf
Indicates that one entity specifies, determines, or establishes the scope, level, or nature of another entity’s competence or capability.
-
D.
hasSubdiscipline
Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
-
E.
hasCurriculumArea
Indicates that an educational program, course, or learning activity is associated with a specific curriculum area or subject domain.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e50a80819098920d9190c30225 |
completed | April 19, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fff0348190b899a32da537eaca |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:51 a.m.