Triple
T17150325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan-Enric Vives i Sicília |
E416202
|
entity |
| Predicate | startTimeAsBishopOfUrgell |
P126305
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [Joan-Enric Vives i Sicília, startTimeAsBishopOfUrgell, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsBishopOfUrgell Context triple: [Joan-Enric Vives i Sicília, startTimeAsBishopOfUrgell, 2003]
-
A.
startTimeAsBishopOfAlbany
Indicates the date and time when an individual began serving as the Bishop of Albany.
-
B.
startTimeAsArchbishopOfMilan
Indicates the date and time when an individual began serving as Archbishop of Milan.
-
C.
startTimeAsRegentOfAragon
Indicates the point in time when an individual began serving as regent of Aragon.
-
D.
startTimeAsKingOfAragon
Indicates the point in time when an entity began its reign as King of Aragon.
-
E.
startTimeAsArchbishopOfReims
Indicates the date and time when an individual began their tenure serving as Archbishop of Reims.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f4067470819084aa233c4c4a6d4f |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:36 a.m.