Triple
T35822057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avignon Regional County Municipality |
E1035529
|
entity |
| Predicate | hasRegionalCountyMunicipalityCode |
—
|
GENERATED |
| Object | 06 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalCountyMunicipalityCode Context triple: [Avignon Regional County Municipality, hasRegionalCountyMunicipalityCode, 06]
-
A.
hasMunicipalityCode
chosen
Indicates that an entity is associated with a specific official municipality code used for administrative or identification purposes.
-
B.
hasCountyCode
Indicates that an entity is associated with a specific county identified by a standardized county code.
-
C.
isRegionalCountyMunicipalityEquivalent
Indicates that one administrative unit has the same legal or functional status as a regional county municipality within a given jurisdiction.
-
D.
hasCountyCodeType
Indicates that an entity is associated with a specific type or classification of county code.
-
E.
hasMunicipalCodeArea
Indicates that a municipality is associated with a specific administrative or statistical area defined by a municipal code.
- F. None of above.
Provenance (1 batch)
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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.