Triple
T13455874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feudal Japan |
E311229
|
entity |
| Predicate | nominalRulerTitle |
P105547
|
FINISHED |
| Object | emperor of Japan |
—
|
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: emperor of Japan | Statement: [Feudal Japan, nominalRulerTitle, emperor of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nominalRulerTitle Context triple: [Feudal Japan, nominalRulerTitle, emperor of Japan]
-
A.
traditionalRulerTitleInArea
chosen
Indicates that a specific traditional ruler’s title is officially recognized as holding authority within a particular geographic or administrative area.
-
B.
rulerOf
Indicates that one entity holds governing authority or sovereignty over another entity, such as a person ruling a country or territory.
-
C.
involvesRuler
Indicates that the relationship or action includes or pertains to a ruler as a participating party.
-
D.
mainRuler
Indicates that one entity is the primary sovereign or highest-ranking ruler over another entity, such as a territory, people, or political unit.
-
E.
namedForTitle
Indicates that one entity is named after or in honor of the title (such as a rank, honorific, or formal designation) associated with another entity.
- 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_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. |
Created at: April 9, 2026, 9:41 p.m.