Triple
T7579294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Dowager of Sweden |
E179443
|
entity |
| Predicate | requiresPreviousTitle |
P2939
|
FINISHED |
| Object | Queen Consort of Sweden |
—
|
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: Queen Consort of Sweden | Statement: [Queen Dowager of Sweden, requiresPreviousTitle, Queen Consort of Sweden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresPreviousTitle Context triple: [Queen Dowager of Sweden, requiresPreviousTitle, Queen Consort of Sweden]
-
A.
previousTitle
chosen
Indicates that one title held or used by an entity directly preceded another title in sequence or time.
-
B.
hasLaterTitle
Indicates that one title occurs chronologically after another title in a sequence or timeline.
-
C.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
D.
hadTitle
Indicates that an entity held or was assigned a specific title or formal designation.
-
E.
usedAsTitleBeforeName
Indicates that a term or phrase functions as a formal title placed immediately before a person's name.
- 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.