Triple
T6831500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palais des Papes |
E157147
|
entity |
| Predicate | functionDuringAvignonPapacy |
P72918
|
FINISHED |
| Object | seat of the papal court |
—
|
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: seat of the papal court | Statement: [Palais des Papes, functionDuringAvignonPapacy, seat of the papal court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionDuringAvignonPapacy Context triple: [Palais des Papes, functionDuringAvignonPapacy, seat of the papal court]
-
A.
periodOfAvignonPapacy
Indicates the time span during which the Avignon Papacy took place.
-
B.
chronologyWithinAvignonPapacy
Indicates that one event or period occurs within the temporal span of the Avignon Papacy.
-
C.
laterAvignonPope
Indicates that the subject served as a pope during the later phase of the Avignon Papacy, after its initial period.
-
D.
papacyDuringReignOf
Indicates that a papacy occurred during, and temporally overlapped with, the reign period of a specified ruler or authority.
-
E.
functionDuringPrinceArchbishopric
Indicates that an entity held a particular function, role, or office during the period of a prince-archbishop’s rule.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62992908190996efab71cbf70f0 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d11fab808190b18160ff3829fcc6 |
completed | March 27, 2026, 6:49 p.m. |
Created at: March 27, 2026, 2:18 p.m.