Triple
T14861010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir David Vunagi |
E349487
|
entity |
| Predicate | archbishopricEnd |
P115918
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Sir David Vunagi, archbishopricEnd, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archbishopricEnd Context triple: [Sir David Vunagi, archbishopricEnd, 2015]
-
A.
archbishopOf
Indicates that a person holds the ecclesiastical office of archbishop in relation to a specific diocese, region, or church jurisdiction.
-
B.
periodAsEpiscopalSeeEnd
Indicates the time period during which a location’s role or status as an episcopal see comes to an end.
-
C.
archbishopricSeatPeriod
Indicates the time period during which a particular location served as the official seat of an archbishopric.
-
D.
archbishopPresent
Indicates that an archbishop is present at, attending, or participating in the specified event or context.
-
E.
currentArchbishopStartYear
Indicates the calendar year in which the current archbishop began serving in that role.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded573cba881908d6d9ac570a64e5f |
completed | April 15, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:54 a.m.