Triple
T14575430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congress of Local and Regional Authorities |
E342030
|
entity |
| Predicate | representsTypeOfEntity |
P56511
|
FINISHED |
| Object | municipalities |
—
|
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: municipalities | Statement: [Congress of Local and Regional Authorities, representsTypeOfEntity, municipalities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsTypeOfEntity Context triple: [Congress of Local and Regional Authorities, representsTypeOfEntity, municipalities]
-
A.
isEntityOf
Indicates that one entity serves as the defining instance, member, or realization of another, more general entity or concept.
-
B.
representationType
Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
-
C.
supportsEntityType
Indicates that one entity is capable of handling, accommodating, or being compatible with a specified type of entity.
-
D.
identifiesEntityType
chosen
Indicates that one entity specifies or determines the type or category to which another entity belongs.
-
E.
representsInRelationsWith
Indicates that an entity serves as a representative or proxy for another entity within a specified relationship or set of relationships.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f49d58819094fcd2a702e146cb |
completed | April 14, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:24 a.m.