Triple
T14846082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | League of Nations records |
E349089
|
entity |
| Predicate | archivalLevel |
P66614
|
FINISHED |
| Object | fonds |
—
|
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: fonds | Statement: [League of Nations records, archivalLevel, fonds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archivalLevel Context triple: [League of Nations records, archivalLevel, fonds]
-
A.
archivesLevel
chosen
Indicates that one entity is stored, classified, or maintained at a particular archival level or tier within an archival system.
-
B.
archivalConcern
Indicates a relationship where something is regarded as important or relevant for preservation, documentation, or long-term archival purposes.
-
C.
archiveType
Indicates the classification or category assigned to an archive within a system or collection.
-
D.
historicalDocumentationLevel
Indicates the extent or quality of recorded evidence or documentation available about a particular event, entity, or relationship.
-
E.
tarLevel
Indicates the degree or amount of tar associated with or produced by something in the relationship.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded29236dc8190b7d3a37d09f9fb21 |
completed | April 14, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:53 a.m.