Triple
T24704743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolph I, Duke of Cleves |
E611855
|
entity |
| Predicate | convertedTitle |
P25426
|
FINISHED |
| Object | County of Cleves elevated to Duchy in 1417 |
—
|
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: County of Cleves elevated to Duchy in 1417 | Statement: [Adolph I, Duke of Cleves, convertedTitle, County of Cleves elevated to Duchy in 1417]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedTitle Context triple: [Adolph I, Duke of Cleves, convertedTitle, County of Cleves elevated to Duchy in 1417]
-
A.
editedTitle
Indicates that one entity has modified or changed the title of another entity.
-
B.
retitledAs
Indicates that an entity has been given a new title or name, replacing or supplementing its original one.
-
C.
tookTitleFrom
Indicates that one entity adopted or derived its title, name, or designation from another entity.
-
D.
translationTitle
Indicates that one entity is the title assigned to a translated version of another entity (such as a work, document, or text).
-
E.
titleBecomes
chosen
Indicates that one title changes into or is replaced by another title over time.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:23 a.m.