Triple
T2141822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick II, Holy Roman Emperor |
E46775
|
entity |
| Predicate | reignAsKingOfGermanyStart |
P36565
|
FINISHED |
| Object | 1212 |
—
|
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: 1212 | Statement: [Frederick II, Holy Roman Emperor, reignAsKingOfGermanyStart, 1212]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsKingOfGermanyStart Context triple: [Frederick II, Holy Roman Emperor, reignAsKingOfGermanyStart, 1212]
-
A.
reignAsHolyRomanEmperorStart
Indicates the time point or event at which an entity begins its tenure as Holy Roman Emperor.
-
B.
reignStartAsEmperorOfAustria
Indicates the date or point in time when an individual began their reign holding the title of Emperor of Austria.
-
C.
reignAsKingOfFranceStart
Indicates the time point or event at which an individual begins their tenure as the reigning king of France.
-
D.
reignAsKingOfPolandStart
Indicates the time at which an entity begins its reign as king over Poland.
-
E.
reignAsKingOfItalyStart
Indicates the time at which a person begins their reign as king over Italy.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbeaa14bc81908486683decd7ae42 |
completed | March 7, 2026, 5:59 a.m. |
| PD | Predicate disambiguation | batch_69abbd9846e88190b6c2941dd9ce7749 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbea8bd4881908f72019a5acf6174 |
completed | March 7, 2026, 5:59 a.m. |
Created at: March 4, 2026, 7:44 p.m.