Triple
T10793147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfonso I of Aragon |
E254632
|
entity |
| Predicate | willBequeathedKingdomsTo |
P95518
|
FINISHED |
| Object | military religious orders |
—
|
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: military religious orders | Statement: [Alfonso I of Aragon, willBequeathedKingdomsTo, military religious orders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: willBequeathedKingdomsTo Context triple: [Alfonso I of Aragon, willBequeathedKingdomsTo, military religious orders]
-
A.
heirOf
Indicates that one entity is the legal or designated successor who inherits from another entity, typically upon that entity’s death or transfer of rights.
-
B.
successorAsEasternRuler
Indicates that one entity became the next ruler of an eastern domain or territory after another entity.
-
C.
alsoKingOf
Indicates that an entity who is king of one place is simultaneously king of another place as well.
-
D.
successorDynasty
Indicates that one dynasty directly follows and replaces another in a sequence of rule or authority.
-
E.
successorAsTitularKing
Indicates that one entity becomes the next holder of a ceremonial or nominal kingship position previously held by another entity.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732f7ad408190af4727dd9d459498 |
completed | April 9, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69d6f316940c819092a96c429629fdef |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa334b8c819082eaf8537084c323 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:17 p.m.