Triple
T8277851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gojong of Korea |
E193590
|
entity |
| Predicate | kingshipStartAsKingOfJoseon |
P82464
|
FINISHED |
| Object | 1863 |
—
|
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: 1863 | Statement: [Gojong of Korea, kingshipStartAsKingOfJoseon, 1863]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kingshipStartAsKingOfJoseon Context triple: [Gojong of Korea, kingshipStartAsKingOfJoseon, 1863]
-
A.
reignStartAsKingOfPortugal
Indicates the time or event at which an individual begins their reign as the king of Portugal.
-
B.
startEmperor
Indicates that an entity begins its role, reign, or status as an emperor.
-
C.
reignStartAsKingOfBohemia
Indicates the date or event marking when an individual began their reign as King of Bohemia.
-
D.
kingOf
Indicates that one entity holds the position or role of king in relation to another entity, typically a territory, people, or domain.
-
E.
alsoKingOf
Indicates that an entity who is king of one place is simultaneously king of another place as well.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ebb6b88190bc777b8bd72fcdbc |
completed | March 31, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:51 p.m.