Triple
T23162286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shō Shin |
E578617
|
entity |
| Predicate | eraOfRuleCharacterizedBy |
P151157
|
FINISHED |
| Object | political stability |
—
|
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: political stability | Statement: [Shō Shin, eraOfRuleCharacterizedBy, political stability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfRuleCharacterizedBy Context triple: [Shō Shin, eraOfRuleCharacterizedBy, political stability]
-
A.
ruleCharacterization
Indicates that one rule is described, defined, or characterized in terms of another rule or set of rules.
-
B.
eraDefinition
Indicates the specific time period or historical era during which something is defined, classified, or considered valid.
-
C.
eraRole
Indicates the specific role, function, or capacity an entity has within a particular historical or temporal era.
-
D.
isPartOfSeriesOfRulesBy
Indicates that a specific rule belongs to, or is included within, a larger series or collection of rules defined or authored by another entity.
-
E.
eraOfFigure
Indicates the historical period or era during which a particular figure was active, influential, or primarily associated.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f019cd881908e3c68d99454da2a |
completed | April 29, 2026, 4:54 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b75e2708190ba48875e36f983bc |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4:02 p.m.