Triple
T16692849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchy of Uzès |
E405635
|
entity |
| Predicate | associatedTitleRank |
P11700
|
FINISHED |
| Object | premier pair de 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: premier pair de France | Statement: [Duchy of Uzès, associatedTitleRank, premier pair de France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedTitleRank Context triple: [Duchy of Uzès, associatedTitleRank, premier pair de France]
-
A.
associatedTitle
Indicates that one entity has a title, designation, or formal label that is linked or relevant to another entity.
-
B.
relatedTitleHolder
Indicates that one entity holds a title or position that is related or connected to the title or position held by another entity.
-
C.
hasRankOrTitle
Indicates that an entity holds, is assigned, or is associated with a specific rank, title, or formal designation.
-
D.
creditedTitle
Indicates that a particular title or role is formally attributed to an entity as a credit.
-
E.
associatedWithRank
chosen
Indicates a relationship where an entity is linked to a specific rank, level, or hierarchical position.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eaacb948190954231c9e97a4adf |
completed | April 18, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.