Triple
T4698313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guerra del Asiento |
E104204
|
entity |
| Predicate | causaPrincipal |
P54753
|
FINISHED |
| Object | disputas comerciales |
—
|
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: disputas comerciales | Statement: [Guerra del Asiento, causaPrincipal, disputas comerciales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causaPrincipal Context triple: [Guerra del Asiento, causaPrincipal, disputas comerciales]
-
A.
primaryCauseCategory
chosen
Indicates the main type or classification of cause responsible for an outcome or event.
-
B.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
C.
primaryIssue
Indicates that the related item is the main or most important issue among a set of issues.
-
D.
originalReason
Indicates the initial cause, motivation, or justification behind an action, decision, or state of affairs.
-
E.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
- 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.