Triple
T13454656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan the First-Crowned |
E311197
|
entity |
| Predicate | reignAsGrandPrinceEnd |
P109571
|
FINISHED |
| Object | 1217 |
—
|
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: 1217 | Statement: [Stefan the First-Crowned, reignAsGrandPrinceEnd, 1217]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsGrandPrinceEnd Context triple: [Stefan the First-Crowned, reignAsGrandPrinceEnd, 1217]
-
A.
reignAsGrandPrinceOfVladimirFrom
Indicates that a person held the position of Grand Prince of Vladimir starting from a specified time.
-
B.
reignAsCrownPrinceFrom
Indicates the period during which a person holds and exercises the official status and role of crown prince of a particular realm or title.
-
C.
reignAsGrandPrinceOfMoscowFrom
Indicates that a person held the position of Grand Prince of Moscow starting from a specified time.
-
D.
reignAsGrandDukeOfLithuaniaEnd
Indicates the time or event at which an individual's tenure as Grand Duke of Lithuania comes to an end.
-
E.
reignAsGrandDukeOfTuscanyEnd
Indicates the time or event at which an individual’s tenure as Grand Duke of Tuscany comes to an end.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaefc52448190b30d7999f44a9765 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadce235f88190a6433395d2969811 |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:41 p.m.