Triple
T1619510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hedvig Sophia of Sweden |
E34997
|
entity |
| Predicate | titleFrom |
P28611
|
FINISHED |
| Object | Duchess consort of Holstein-Gottorp from 1698 |
—
|
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: Duchess consort of Holstein-Gottorp from 1698 | Statement: [Hedvig Sophia of Sweden, titleFrom, Duchess consort of Holstein-Gottorp from 1698]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleFrom Context triple: [Hedvig Sophia of Sweden, titleFrom, Duchess consort of Holstein-Gottorp from 1698]
-
A.
titleDerivedFrom
Indicates that the title of one entity is obtained or adapted from another entity.
-
B.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
C.
titleHolderFrom
chosen
Indicates that an entity holds or has held a specific title or position starting from a given point in time.
-
D.
titleVariant
Indicates that one title is an alternative or variant form of another title referring to the same work or entity.
-
E.
titles
Indicates that one entity holds a formal title, designation, or name associated with another entity.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf4a0ef748190ae52b9656474c0ef |
completed | March 6, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69a907c731808190a1d998155041b3c1 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.