Triple
T33426807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Oropa |
E856005
|
entity |
| Predicate | firstDocumentedCrowningOfMadonna |
P44069
|
FINISHED |
| Object | 1620 |
—
|
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: 1620 | Statement: [Sanctuary of Oropa, firstDocumentedCrowningOfMadonna, 1620]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDocumentedCrowningOfMadonna Context triple: [Sanctuary of Oropa, firstDocumentedCrowningOfMadonna, 1620]
-
A.
firstCoronationHeldFor
chosen
Indicates that a particular entity was the subject or beneficiary of the first coronation event associated with another entity.
-
B.
firstCoronationHeld
Indicates that the referenced coronation event is the earliest (first in time) coronation associated with the given entity.
-
C.
coronationDate
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
-
D.
coronationOfficiatedFor
Indicates that one entity performed the official duties of conducting or presiding over the coronation ceremony for another entity.
-
E.
mostRecentCoronation
Indicates that the related event is the latest coronation that has occurred for the given 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:36 a.m.