Triple
T1037605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis I of Spain |
E22399
|
entity |
| Predicate | coronationStatus |
P24223
|
FINISHED |
| Object | not formally crowned |
—
|
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: not formally crowned | Statement: [Louis I of Spain, coronationStatus, not formally crowned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coronationStatus Context triple: [Louis I of Spain, coronationStatus, not formally crowned]
-
A.
crownedAt
Indicates the place or event where an entity formally received a crown or was officially installed as a monarch or titleholder.
-
B.
wasCrowned
Indicates that an entity formally received a crown or royal title in a ceremonial act of investiture.
-
C.
coronationDate
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
-
D.
crownedWith
Indicates that one entity serves as a crown, top, or decorative upper covering placed upon another entity.
-
E.
firstCoronationHeld
Indicates that the referenced coronation event is the earliest (first in time) coronation associated with the given 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b729f8488190b2042bd9c625a833 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b97acbf4819087b92a8b29baef46 |
completed | March 1, 2026, 10:11 p.m. |
Created at: March 1, 2026, 7:41 p.m.