Triple
T23985742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abuna Qerellos IV |
E604926
|
entity |
| Predicate | roleInCeremonies |
P3343
|
FINISHED |
| Object | participation in imperial coronations |
—
|
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: participation in imperial coronations | Statement: [Abuna Qerellos IV, roleInCeremonies, participation in imperial coronations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCeremonies Context triple: [Abuna Qerellos IV, roleInCeremonies, participation in imperial coronations]
-
A.
ceremonialRoleInvolves
Indicates that a ceremonial role includes or entails performing a particular action, duty, or function as part of that ceremony.
-
B.
ceremonialRole
chosen
Indicates that an entity holds a formal, often symbolic or honorific, position or function within a ceremony or ritual context.
-
C.
ceremonialRoleContext
Indicates the situational or institutional setting within which a ceremonial role is defined, performed, or holds relevance.
-
D.
ceremonialStatus
Indicates the formal or symbolic standing an entity holds within a ritual, tradition, or official ceremony.
-
E.
ceremonyType
Indicates the specific kind or category of ceremony associated with an event or relationship.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2c1d4508190905a3eb2d98a248b |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:34 p.m.