Triple
T2410720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prelate of the Order of St Michael and St George |
E50381
|
entity |
| Predicate | religiousRank |
P5046
|
FINISHED |
| Object | bishop |
—
|
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: bishop | Statement: [Prelate of the Order of St Michael and St George, religiousRank, bishop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousRank Context triple: [Prelate of the Order of St Michael and St George, religiousRank, bishop]
-
A.
ecclesiasticalRank
chosen
Indicates the hierarchical religious office or clerical status that one entity holds within a church or ecclesiastical organization.
-
B.
titleHolderReligion
Indicates the religious affiliation associated with the holder of a particular title.
-
C.
hasLiturgicalRank
Indicates that an entity is assigned a specific status or level within a liturgical or religious ceremonial hierarchy.
-
D.
religiousAdministration
Indicates that one entity holds authority or responsibility for managing, overseeing, or governing the religious affairs, practices, or institutions of another entity.
-
E.
wealthRanking
Indicates the relative ordering of entities based on their level of wealth or financial resources.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abceab9ce881909ae0a2f34515c11e |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5a530e8819094105aa92dfaf6b3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:58 p.m.