Triple
T1065301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book III: Polybius |
E22995
|
entity |
| Predicate | interpretsEventsAs |
P12221
|
FINISHED |
| Object | manifestations of divine providence |
—
|
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: manifestations of divine providence | Statement: [Book III: Polybius, interpretsEventsAs, manifestations of divine providence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretsEventsAs Context triple: [Book III: Polybius, interpretsEventsAs, manifestations of divine providence]
-
A.
interpretsEvent
chosen
Indicates that an entity analyzes and assigns meaning or significance to an event.
-
B.
portraysEvent
Indicates that one entity depicts, represents, or illustrates a particular event.
-
C.
coversEvent
Indicates that one event includes, spans, or encompasses the time period or occurrence of another event.
-
D.
interpretedAs
Indicates that something is understood, perceived, or taken to mean something else, often based on context or subjective judgment.
-
E.
introducedEvent
Indicates that an entity is responsible for bringing an event into existence or initiating it for the first time.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b9e1047481909af1cf8df2a01fff |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b736f1e881909bace735b38c0ade |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.