Triple
T19276954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kings of Joseon |
E482081
|
entity |
| Predicate | numberOfMonarchs |
P10337
|
FINISHED |
| Object | 27 |
—
|
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: 27 | Statement: [Kings of Joseon, numberOfMonarchs, 27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMonarchs Context triple: [Kings of Joseon, numberOfMonarchs, 27]
-
A.
governingMonarchs
Indicates that the subject is the monarch who holds ruling authority over the object (such as a country, territory, or people).
-
B.
hasNumberOfRulers
chosen
Indicates the quantity of rulers associated with or governing a given entity.
-
C.
reignOfMonarch
Indicates the period during which a specific monarch holds ruling authority over a realm or territory.
-
D.
producedMonarchsOf
Indicates that one entity created, generated, or was responsible for bringing into existence the monarchs associated with another entity.
-
E.
notableMonarch
Indicates that the subject is a monarch who is distinguished or historically significant in some notable way.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbbd5f34819086535f28fd880411 |
completed | April 20, 2026, 10:11 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:29 p.m.