Triple
T35472670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val do Salnés |
E1025243
|
entity |
| Predicate | hasSubregionStatusSince |
P201187
|
FINISHED |
| Object | creation of Rías Baixas DO |
—
|
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: creation of Rías Baixas DO | Statement: [Val do Salnés, hasSubregionStatusSince, creation of Rías Baixas DO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubregionStatusSince Context triple: [Val do Salnés, hasSubregionStatusSince, creation of Rías Baixas DO]
-
A.
hasSubregionStatus
Indicates that one region holds an official or defined status as a subregion within a larger geographic or administrative area.
-
B.
hasSubregionRelationWith
Indicates a relationship where one region is a subregion or contained part of another region.
-
C.
isInSubregion
Indicates that one region or area is located within the boundaries of another, more specific subregion.
-
D.
hasHistoricalCountrySubdivision
Indicates that one entity was a territorial or administrative subdivision of a historical country.
-
E.
isInFormerRegion
Indicates that one entity is located within a geographic or administrative area that previously existed or had a different status or boundaries in the past.
- 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffdd05d1908190957deb11392f4595 |
completed | May 10, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69ffdc0d33c881908b3483bee8a96540 |
completed | May 10, 2026, 1:14 a.m. |
| PDg | Predicate description generation | batch_69ffdd0486e08190a0f2ff4ce0aee13b |
completed | May 10, 2026, 1:19 a.m. |
Created at: May 3, 2026, 4:04 p.m.