Triple
T23600074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vatican Secret Archive |
E582725
|
entity |
| Predicate | readingRooms |
P6669
|
FINISHED |
| Object | research reading room in Vatican City |
—
|
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: research reading room in Vatican City | Statement: [Vatican Secret Archive, readingRooms, research reading room in Vatican City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readingRooms Context triple: [Vatican Secret Archive, readingRooms, research reading room in Vatican City]
-
A.
hasReadingRoom
chosen
Indicates that a place or facility includes a designated reading room area available for use.
-
B.
readingOrganizer
Indicates that an entity is responsible for planning, managing, or coordinating reading-related activities or materials for others.
-
C.
readingSystem
Indicates a system or device that presents, interprets, or processes written or digital content for a user.
-
D.
library
Indicates that an entity functions as or is associated with a library, typically as a place or system for storing, organizing, and providing access to collections of information resources.
-
E.
hasReadingRoomType
Indicates that an entity (such as a facility or building) has a specific type or category of reading room.
- 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_69e248faa2788190abb1581742daa6aa |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0929c548190bb42621d1131d87f |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:43 p.m.