Triple
T25364655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blessed |
E636065
|
entity |
| Predicate | ceremonyMayBeDelegatedTo |
P159431
|
FINISHED |
| Object | papal legate |
—
|
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: papal legate | Statement: [Blessed, ceremonyMayBeDelegatedTo, papal legate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceremonyMayBeDelegatedTo Context triple: [Blessed, ceremonyMayBeDelegatedTo, papal legate]
-
A.
ceremonyPresidedBy
Indicates that a ceremony is overseen, led, or officially conducted by a particular person or authority.
-
B.
ceremonyState
Indicates the current status or phase of a ceremony within its overall lifecycle.
-
C.
ceremonyHeld
Indicates that a formal ceremony or ritual event has taken place at a particular time and/or location.
-
D.
ceremonyType
Indicates the specific kind or category of ceremony associated with an event or relationship.
-
E.
ceremonyTargeted
Indicates that a ceremony is specifically directed toward, intended for, or focused on a particular entity as its target.
- 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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f584f07b648190aee894c1d5320bc3 |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 21, 2026, 1:36 p.m.