Triple
T2020375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keeper of the Seals |
E44089
|
entity |
| Predicate | continuesTraditionOf |
P18685
|
FINISHED |
| Object | medieval seal-keeping offices in France |
—
|
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: medieval seal-keeping offices in France | Statement: [Keeper of the Seals, continuesTraditionOf, medieval seal-keeping offices in France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuesTraditionOf Context triple: [Keeper of the Seals, continuesTraditionOf, medieval seal-keeping offices in France]
-
A.
traditionSince
Indicates that a tradition has been continuously practiced or recognized starting from a specified point in time.
-
B.
traditionsMaintainedBy
chosen
Indicates that certain traditions are preserved, upheld, or continued in practice by a particular entity.
-
C.
traditionIncludes
Indicates that a particular tradition encompasses, contains, or is composed of a specified element, practice, or component.
-
D.
traditionInheritedFrom
Indicates that a tradition has been passed down or derived from an earlier source, group, or culture.
-
E.
traditionAscribes
Indicates that a tradition attributes or assigns a particular quality, role, origin, or action to 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8d0bcbc8190bbbb726ecae1c51b |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb7a389408190a84a54856352f15b |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.