Triple
T2940797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naples Cathedral |
E79380
|
entity |
| Predicate | hasMainAltar |
P15258
|
FINISHED |
| Object | high altar dedicated to the Assumption |
—
|
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: high altar dedicated to the Assumption | Statement: [Naples Cathedral, hasMainAltar, high altar dedicated to the Assumption]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainAltar Context triple: [Naples Cathedral, hasMainAltar, high altar dedicated to the Assumption]
-
A.
hasAltar
chosen
Indicates that one entity possesses, contains, or includes an altar as part of its features or components.
-
B.
hasMajorShrine
Indicates that one entity serves as a principal or primary shrine dedicated to another entity.
-
C.
mainTemple
Indicates that one entity serves as the primary or central temple associated with another entity.
-
D.
hasMainHall
Indicates that an entity possesses or includes a primary or central hall as a significant internal space.
-
E.
hasMainHallType
Indicates the specific category or kind of main hall associated with an entity.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad986f38948190a636a826693a9d4f |
completed | March 8, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69ad96088fb481909976b436c2b729d9 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:56 p.m.