Triple
T18756464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assumption of the Virgin (Cerasi Chapel) |
E458661
|
entity |
| Predicate | positionInChapel |
P69711
|
FINISHED |
| Object | high altar |
—
|
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 | Statement: [Assumption of the Virgin (Cerasi Chapel), positionInChapel, high altar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInChapel Context triple: [Assumption of the Virgin (Cerasi Chapel), positionInChapel, high altar]
-
A.
positionInChurch
Indicates that one entity holds a specific role, office, or rank within a church organization or hierarchy.
-
B.
positionInTemple
Indicates the specific location or role an entity occupies within a temple.
-
C.
housedInChapel
chosen
Indicates that something is located, kept, or contained within a chapel.
-
D.
hasChapelLocation
Indicates that one entity serves as the physical location or site where a chapel associated with another entity is situated.
-
E.
locatedInTheChurch
Indicates that one entity is physically situated within or inside the church.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f20b808190833e29830bfed937 |
completed | April 20, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.