Triple
T15353891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Asturias |
E367121
|
entity |
| Predicate | heirType |
P113765
|
FINISHED |
| Object | heir apparent (not presumptive) |
—
|
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: heir apparent (not presumptive) | Statement: [Princess of Asturias, heirType, heir apparent (not presumptive)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heirType Context triple: [Princess of Asturias, heirType, heir apparent (not presumptive)]
-
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.
typeOfSuccessionRank
chosen
Indicates the specific kind or category of succession ranking that applies within a succession order or hierarchy.
-
C.
agreedHeir
Indicates that one entity has been formally designated and accepted as the heir of another, typically through mutual agreement or legal arrangement.
-
D.
royalHouseType
Indicates the specific kind or category of royal house associated with an entity (e.g., dynasty, ruling family type, or royal lineage classification).
-
E.
madeHeirBy
Indicates that one entity is designated or appointed as the heir of another entity.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2a8e88819093e4b7479b2c80cd |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.