Triple
T34354522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallès region |
E881680
|
entity |
| Predicate | traditionalSubdivisionInto |
P66508
|
FINISHED |
| Object | Vallès Occidental |
—
|
NE NERFINISHED |
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: Vallès Occidental | Statement: [Vallès region, traditionalSubdivisionInto, Vallès Occidental]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalSubdivisionInto Context triple: [Vallès region, traditionalSubdivisionInto, Vallès Occidental]
-
A.
traditionalSubdivisionOf
chosen
Indicates that one entity is a historically or culturally recognized sub-unit or component region of another, according to traditional (rather than strictly modern administrative) divisions.
-
B.
subdividedBy
Indicates that something is divided into smaller parts or sections by another entity or criterion.
-
C.
subdivisionAlternativeName
Indicates an alternative or variant name used to refer to a particular subdivision.
-
D.
subdivisionPrinciple
Indicates that a larger entity is organized or governed according to a specific rule or principle for dividing it into smaller parts or subdivisions.
-
E.
parallelSubdivision
Indicates that one structure or process is divided into multiple parts that proceed or are handled simultaneously alongside each other.
- 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_69f349bd06008190904c2f86c42749e3 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: May 1, 2026, 1:58 a.m.