Triple
T3162351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis the Pious |
E66128
|
entity |
| Predicate | coronationAsCoEmperorDate |
P46440
|
FINISHED |
| Object | 813 |
—
|
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: 813 | Statement: [Louis the Pious, coronationAsCoEmperorDate, 813]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coronationAsCoEmperorDate Context triple: [Louis the Pious, coronationAsCoEmperorDate, 813]
-
A.
coronationDate
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
-
B.
coronationAsKingOfTheRomans
Indicates the event in which a person is formally crowned and recognized as King of the Romans.
-
C.
coronationDateAsKingOfEastFrancia
Indicates the date on which an entity was formally crowned as King of East Francia.
-
D.
firstCoronationHeld
Indicates that the referenced coronation event is the earliest (first in time) coronation associated with the given entity.
-
E.
firstCoronationHeldFor
Indicates that a particular entity was the subject or beneficiary of the first coronation event associated with 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada618b9b88190afaa6d47dcad9f2c |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:06 p.m.