Triple
T36456801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen consort of Burgundy |
E898174
|
entity |
| Predicate | isTitleInMonarchy |
P117093
|
FINISHED |
| Object | Burgundian monarchy |
—
|
NE NERFINISHED |
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: Burgundian monarchy | Statement: [Queen consort of Burgundy, isTitleInMonarchy, Burgundian monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTitleInMonarchy Context triple: [Queen consort of Burgundy, isTitleInMonarchy, Burgundian monarchy]
-
A.
isRoyalTitle
Indicates that something is a formal title associated with royalty or a royal rank.
-
B.
typeOfMonarchyTitle
chosen
Indicates that a given title is a specific type or category of monarchy-related title (e.g., king, queen, emperor) within a monarchical system.
-
C.
monarchTitleIn
Indicates that a particular monarch holds or held a specific royal title within a given political or territorial entity.
-
D.
isHighestRoyalTitleIn
Indicates that a royal title is the most senior or supreme title within a specified realm, hierarchy, or political entity.
-
E.
styleOfMonarchTitle
Indicates the specific formal style or wording used in the official title of a monarch.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.