Triple
T14973933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertrand de Got |
E373394
|
entity |
| Predicate | appointedArchbishopOfBordeaux |
P3360
|
FINISHED |
| Object | 1297 |
—
|
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: 1297 | Statement: [Bertrand de Got, appointedArchbishopOfBordeaux, 1297]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedArchbishopOfBordeaux Context triple: [Bertrand de Got, appointedArchbishopOfBordeaux, 1297]
-
A.
archbishopOf
chosen
Indicates that a person holds the ecclesiastical office of archbishop in relation to a specific diocese, region, or church jurisdiction.
-
B.
appointedBishopOf
Indicates that a person has been officially assigned or consecrated to serve as the bishop responsible for a particular diocese or ecclesiastical jurisdiction.
-
C.
formerArchbishop
Indicates that a person previously held the position or title of archbishop but no longer does.
-
D.
appointedBishopOfWinchester
Indicates that a person was formally appointed to serve as the Bishop of Winchester.
-
E.
appointedArchbishopOfFlorenceOn
Indicates that a person was formally appointed to the position of Archbishop of Florence on a specific date.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e767608190940eb6f16ea97451 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:50 a.m.