Triple
T33013842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valongo Municipality |
E844716
|
entity |
| Predicate | hasRegionTypeMix |
P204145
|
FINISHED |
| Object | urban areas |
—
|
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: urban areas | Statement: [Valongo Municipality, hasRegionTypeMix, urban areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionTypeMix Context triple: [Valongo Municipality, hasRegionTypeMix, urban areas]
-
A.
hasGeneralRegionType
Indicates that an entity is associated with a broad or high-level classification of geographic or spatial region.
-
B.
containsRegionType
Indicates that one region includes or encompasses another region of a specified type within its spatial or logical boundaries.
-
C.
isPartOfRegionType
Indicates that one region belongs to, or is classified under, a broader region type or category.
-
D.
hasTraditionalRegionType
Indicates that an entity is associated with or classified by a specific type of traditional region.
-
E.
isTypeOfRegion
Indicates that one entity is classified as a specific type or category of region in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a03352bb9688190b965d188769fcacd |
completed | May 12, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_6a033329ae5c81909532843fe716ec77 |
completed | May 12, 2026, 2:03 p.m. |
| PDg | Predicate description generation | batch_6a03352af3f881909f13f586214027ac |
completed | May 12, 2026, 2:11 p.m. |
Created at: May 1, 2026, 1:23 a.m.