Triple
T4698344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guerra del Asiento |
E104204
|
entity |
| Predicate | perteneceACategoría |
P15481
|
FINISHED |
| Object | guerras entre España y el Reino Unido |
—
|
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: guerras entre España y el Reino Unido | Statement: [Guerra del Asiento, perteneceACategoría, guerras entre España y el Reino Unido]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perteneceACategoría Context triple: [Guerra del Asiento, perteneceACategoría, guerras entre España y el Reino Unido]
-
A.
hasCategoryOn
chosen
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
B.
hasRelatedCategory
Indicates that one category is associated with another category through a non-hierarchical, contextually relevant relationship.
-
C.
hasCategoryWithin
Indicates that one category is contained within or is a subcategory of another category.
-
D.
belongsToCatalogOf
Indicates that one item is included within, or is a member of, a particular catalog or collection.
-
E.
canBelongTo
Indicates that something is capable of being a member or part of a particular group, category, or owner.
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650ad0f88190844bfcb46b3071c2 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd621ba7448190a53ab1e2897acf71 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:17 p.m.