Triple
T7579302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Dowager of Sweden |
E179443
|
entity |
| Predicate | hasAddressForm |
P4477
|
FINISHED |
| Object | Your Majesty |
—
|
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: Your Majesty | Statement: [Queen Dowager of Sweden, hasAddressForm, Your Majesty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAddressForm Context triple: [Queen Dowager of Sweden, hasAddressForm, Your Majesty]
-
A.
hasAddress
Indicates that an entity is associated with a specific address or location.
-
B.
hasAddressState
Indicates that an entity’s address is located within a particular state or state-level administrative region.
-
C.
addressFormFor
chosen
Indicates the form of address or mode of speaking that one entity should use when referring to or speaking to another entity.
-
D.
canAddress
Indicates that one entity has the ability or permission to direct communication, action, or service toward another entity.
-
E.
addressFormat
Indicates the standardized structure or pattern in which an address’s components are arranged and written.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f975bbc08190aec30f902eaea494 |
completed | March 27, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e04c2c8190a889d928515d9b8e |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:52 p.m.