Triple
T5130746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ottokar II of Bohemia |
E115690
|
entity |
| Predicate | reignStartAsDukeOfAustria |
P62789
|
FINISHED |
| Object | 1251 |
—
|
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: 1251 | Statement: [Ottokar II of Bohemia, reignStartAsDukeOfAustria, 1251]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignStartAsDukeOfAustria Context triple: [Ottokar II of Bohemia, reignStartAsDukeOfAustria, 1251]
-
A.
reignStartAsEmperorOfAustria
Indicates the date or point in time when an individual began their reign holding the title of Emperor of Austria.
-
B.
reignAsKingOfHungaryStart
Indicates the time at which an individual begins their reign as king of Hungary.
-
C.
reignAsHolyRomanEmperorStart
Indicates the time point or event at which an entity begins its tenure as Holy Roman Emperor.
-
D.
reignAsDukeOfNassauStart
Indicates the time at which an individual begins their tenure ruling in the position of Duke of Nassau.
-
E.
reignStartAsPrinceOfAragon
Indicates the date or event when an individual began their reign holding the title of Prince of Aragon.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7fee42748190967013828973cce0 |
completed | March 20, 2026, 5:12 p.m. |
Created at: March 20, 2026, 1:42 p.m.