Triple
T8868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of Japan |
E176
|
entity |
| Predicate | monarchRole |
P765
|
FINISHED |
| Object | symbolic head of state |
—
|
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: symbolic head of state | Statement: [Government of Japan, monarchRole, symbolic head of state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchRole Context triple: [Government of Japan, monarchRole, symbolic head of state]
-
A.
monarch
Indicates that an entity serves as the sovereign ruler (such as a king, queen, or emperor) over a state or territory.
-
B.
monarchDuringTerm
Indicates that a specified monarch was the reigning sovereign during the time span of a given officeholder’s term.
-
C.
headOfGovernment
Indicates that one entity serves as the chief executive authority or leader of the government of another entity.
-
D.
majorPowerIn
Indicates that an entity holds significant political, economic, or military influence within a specified domain, region, or context.
-
E.
headOfGovernmentTitle
Indicates the official title held by the person who serves as the head of a government.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a240b249788190af8dbf7e80e9c91b |
completed | Feb. 28, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69a23fe52ec48190a4d24101c91434ed |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a240b1551c81908abcae128ea45d00 |
completed | Feb. 28, 2026, 1:11 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.