Triple
T4673374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Photographic Service |
E103616
|
entity |
| Predicate | archivedMaterialOf |
P3262
|
FINISHED |
| Object | popes |
—
|
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: popes | Statement: [Photographic Service, archivedMaterialOf, popes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archivedMaterialOf Context triple: [Photographic Service, archivedMaterialOf, popes]
-
A.
archivesHeldIn
Indicates that archival materials or records are stored, maintained, or preserved at a specified location or institution.
-
B.
archiveContent
Indicates that content is being stored or moved into an archive state for long-term retention or historical reference.
-
C.
archivesHeldBy
Indicates that archival materials or records are kept, managed, or preserved by a particular entity.
-
D.
archivesType
chosen
Indicates that one entity serves as an archival record or stored version of another entity, specifying the type or category of that archived content.
-
E.
archivesModel
Indicates that one entity stores and preserves another entity as an archived model for long-term reference or retrieval.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.