Triple
T2965811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolphe, Grand Duke of Luxembourg |
E80159
|
entity |
| Predicate | reignAsDukeOfNassauStart |
P45269
|
FINISHED |
| Object | 1839 |
—
|
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: 1839 | Statement: [Adolphe, Grand Duke of Luxembourg, reignAsDukeOfNassauStart, 1839]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsDukeOfNassauStart Context triple: [Adolphe, Grand Duke of Luxembourg, reignAsDukeOfNassauStart, 1839]
-
A.
reignAsGrandDukeOfTuscanyStart
Indicates the time at which an individual begins their tenure as Grand Duke of Tuscany.
-
B.
reignAsDauphinFrom
Indicates the period during which a person held and exercised the title and role of Dauphin, starting from a specified time.
-
C.
reignStartAsElectorOfHanover
Indicates the date or event marking when an individual began their rule in the role of Elector of Hanover.
-
D.
reignStartAsKingOfPortugal
Indicates the time or event at which an individual begins their reign as the king of Portugal.
-
E.
reignAsDauphinTo
Indicates that one person holds and exercises the title and role of Dauphin (heir apparent to the French throne) in relation to a specific monarch or royal line.
- F. None of above. chosen
Provenance (4 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad995a28e88190a4d6b9ef2c0d8e61 |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960e71f8819088179d11248c6ed0 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad98379fac8190a4dfe530787703c9 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 8, 2026, 2:58 p.m.