Triple
T1811432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Burgundy |
E40339
|
entity |
| Predicate | titleAfter |
P25426
|
FINISHED |
| Object | absorbed into the French crown |
—
|
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: absorbed into the French crown | Statement: [Duke of Burgundy, titleAfter, absorbed into the French crown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleAfter Context triple: [Duke of Burgundy, titleAfter, absorbed into the French crown]
-
A.
titleRetainedAfter
Indicates that an entity continues to hold or use the same title after a specified event or point in time.
-
B.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
C.
laterTitleHolder
Indicates that one entity is a subsequent holder of a particular title or position previously held by another entity.
-
D.
titleBecomes
chosen
Indicates that one title changes into or is replaced by another title over time.
-
E.
titleVariant
Indicates that one title is an alternative or variant form of another title referring to the same work or 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab694d75ac8190a4d61399c04b9fb9 |
completed | March 6, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69aa61d6b8ec8190a1597b2e44ea6534 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.