Triple
T28285113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Yuanhao |
E713259
|
entity |
| Predicate | tookThroneYear |
P91282
|
FINISHED |
| Object | 1038 |
—
|
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: 1038 | Statement: [Li Yuanhao, tookThroneYear, 1038]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookThroneYear Context triple: [Li Yuanhao, tookThroneYear, 1038]
-
A.
ascendedToThroneIn
Indicates the time or place at which a person formally became the ruling monarch or assumed the throne.
-
B.
placedOnThrone
Indicates that an entity is formally elevated to a position of rulership or authority, typically by being seated on a throne.
-
C.
ascendedToThroneAs
Indicates that an individual assumed royal power and officially became the reigning monarch under a specific title or role.
-
D.
ascendedThroneYear
chosen
Indicates the year in which a person formally ascended to or took possession of a throne or ruling position.
-
E.
succeededToThroneBy
Indicates that one ruler or monarch is followed in succession by another who takes over the throne.
- F. None of above.
Provenance (3 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6447ea3508190a90d7168899c3ee3 |
completed | May 2, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:25 p.m.