Triple
T26412491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Alcañices |
E663997
|
entity |
| Predicate | cededToPortugal |
P53175
|
FINISHED |
| Object | Campo Maior |
E832970
|
NE 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: Campo Maior | Statement: [Treaty of Alcañices, cededToPortugal, Campo Maior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cededToPortugal Context triple: [Treaty of Alcañices, cededToPortugal, Campo Maior]
-
A.
grantedToPortugal
chosen
Indicates that a right, privilege, territory, or other benefit has been formally conferred or assigned to Portugal.
-
B.
returnedToPortugal
Indicates that an entity went back to Portugal after having been away.
-
C.
consequenceForPortugal
Indicates that one event, action, or situation results in a particular outcome or effect specifically for Portugal.
-
D.
successorAsKingOfPortugal
Indicates that one entity becomes the next king of Portugal following another entity in the royal succession.
-
E.
predecessorAsKingOfPortugal
Indicates that one entity served directly before another as the reigning king of Portugal.
- F. None of above.
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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f611325fd48190898639883fb113fd |
completed | May 2, 2026, 2:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11fe535b208190b1717394cf12243e |
completed | May 23, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 11:39 p.m.