Triple
T558612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Saint Lucia |
E13398
|
entity |
| Predicate | monarchFrom |
P7969
|
FINISHED |
| Object | 1979-02-22 |
—
|
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: 1979-02-22 | Statement: [Queen of Saint Lucia, monarchFrom, 1979-02-22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchFrom Context triple: [Queen of Saint Lucia, monarchFrom, 1979-02-22]
-
A.
monarch
Indicates that an entity serves as the sovereign ruler (such as a king, queen, or emperor) over a state or territory.
-
B.
monarchFather
Indicates that one entity is the male parent (father) of another entity in a monarchical or royal lineage.
-
C.
monarchRole
Indicates that an entity holds or is assigned the role, office, or position of a monarch in relation to a state or domain.
-
D.
monarchUntil
chosen
Indicates that an entity served as monarch over another entity up to, but not beyond, a specified end time or event.
-
E.
monarchMother
Indicates that one entity is the mother of another entity who holds or held a monarchical position (such as king, queen, emperor, etc.).
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499df43f08190b514a38d36fc271d |
completed | March 1, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69a494bd78e8819083c519669158f209 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.