Triple
T32451896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palazzo Vescovile (Teramo) |
E829311
|
entity |
| Predicate | isEcclesiasticalBuilding |
P174192
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Palazzo Vescovile (Teramo), isEcclesiasticalBuilding, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEcclesiasticalBuilding Context triple: [Palazzo Vescovile (Teramo), isEcclesiasticalBuilding, yes]
-
A.
religiousBuildingInstanceOf
Indicates that a specific religious building is an instance of a particular class or type of religious building.
-
B.
isPartOfEcclesiasticalStructure
Indicates that one ecclesiastical unit, office, or body belongs to, is contained within, or is organizationally subordinate to a larger church or religious governance structure.
-
C.
isMajorReligiousBuildingOf
Indicates that a building serves as the primary or most significant religious structure associated with a particular religious group, institution, or area.
-
D.
isOrthodoxCathedral
Indicates that the subject is a cathedral belonging to the Orthodox Christian tradition.
-
E.
inReligiousStructure
Indicates that one entity is located within or inside a building or structure used for religious purposes.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c31264b48190971164ebcfc5f459 |
completed | May 3, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: May 1, 2026, 12:56 a.m.