Triple
T38680174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominion of Ghana |
E943870
|
entity |
| Predicate | monarchTitleInGhana |
P120179
|
FINISHED |
| Object | Queen of Ghana |
—
|
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: Queen of Ghana | Statement: [Dominion of Ghana, monarchTitleInGhana, Queen of Ghana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchTitleInGhana Context triple: [Dominion of Ghana, monarchTitleInGhana, Queen of Ghana]
-
A.
monarchTitleIn
chosen
Indicates that a particular monarch holds or held a specific royal title within a given political or territorial entity.
-
B.
monarchTitleInText
Indicates that a text explicitly mentions a monarch’s formal title.
-
C.
monarchTitleUsedBy
Indicates that a particular monarchic title is or has been borne by a specific monarch or holder of the crown.
-
D.
monarchTitleContext
Indicates the specific situational or historical context in which a monarch’s title is held, used, or recognized.
-
E.
monarchicTitleHolderOf
Indicates that one entity holds a monarchic title associated with another entity (such as a realm, position, or office).
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:33 p.m.