Triple
T11767599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castilian real |
E279816
|
entity |
| Predicate | wasSubdividedInto |
P747
|
FINISHED |
| Object | maravedí |
—
|
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: maravedí | Statement: [Castilian real, wasSubdividedInto, maravedí]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasSubdividedInto Context triple: [Castilian real, wasSubdividedInto, maravedí]
-
A.
subdividedBy
Indicates that something is divided into smaller parts or sections by another entity or criterion.
-
B.
isSubdividedFrom
Indicates that one entity represents a subdivision or derived part that has been split off from another entity.
-
C.
hasSubdivision
chosen
Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
-
D.
formerSubdivisionOf
Indicates that an entity once functioned as an administrative or territorial part of another entity but no longer holds that status.
-
E.
sometimesDividedInto
Indicates that an entity is on some occasions partitioned or separated into distinct parts, sections, or groups, but not always.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
Created at: April 8, 2026, 9:41 p.m.