Triple
T13915326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Pavia |
E334605
|
entity |
| Predicate | traditionallyResidesIn |
P112276
|
FINISHED |
| Object | episcopal residence of Pavia |
—
|
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: episcopal residence of Pavia | Statement: [Bishop of Pavia, traditionallyResidesIn, episcopal residence of Pavia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionallyResidesIn Context triple: [Bishop of Pavia, traditionallyResidesIn, episcopal residence of Pavia]
-
A.
locatedInTraditionalRegion
Indicates that an entity is situated within a specific traditional or historically recognized region.
-
B.
traditionalRegionOfResidence
Indicates the customary or historically established geographic region where an entity (typically a person or group) resides or is considered to be from.
-
C.
hasTraditionalResidenceCountry
Indicates that an entity’s customary or long-term country of residence is the specified country.
-
D.
hasResidenceIn
Indicates that an entity lives or maintains a primary dwelling in a specified location.
-
E.
traditionallyFoundIn
Indicates that something is customarily or historically located, used, or present within a particular place, context, or setting.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de27260ae08190be45b4b15898e365 |
completed | April 14, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:16 p.m.