Triple
T29825177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Finished Mystery |
E757357
|
entity |
| Predicate | viewOnWorldWarI |
P10699
|
FINISHED |
| Object | interpreted as fulfillment of biblical prophecy |
—
|
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: interpreted as fulfillment of biblical prophecy | Statement: [The Finished Mystery, viewOnWorldWarI, interpreted as fulfillment of biblical prophecy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnWorldWarI Context triple: [The Finished Mystery, viewOnWorldWarI, interpreted as fulfillment of biblical prophecy]
-
A.
positionOnWorldWarI
chosen
Indicates a person’s or group’s stance, opinion, or policy regarding World War I.
-
B.
worldWarIIService
Indicates that an entity served in some capacity during World War II.
-
C.
worldWar
Indicates a large-scale armed conflict involving multiple nations across different regions of the world, typically encompassing numerous battles, alliances, and theaters of war.
-
D.
worldWarIService
Indicates that an entity served or participated in military service during World War I.
-
E.
sharesWorldWarTheater
Indicates that two military operations or events took place in the same theater of operations during a World War.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 29, 2026, 5:31 p.m.