Triple
T7902733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Day of Resurrection |
E183493
|
entity |
| Predicate | majorSignCategory |
P79676
|
FINISHED |
| Object | Major Signs of the Hour |
—
|
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: Major Signs of the Hour | Statement: [Day of Resurrection, majorSignCategory, Major Signs of the Hour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorSignCategory Context triple: [Day of Resurrection, majorSignCategory, Major Signs of the Hour]
-
A.
majorSee
Indicates that one entity serves as the primary or most important location where another entity is based, operates, or is centered.
-
B.
majorActivity
Indicates that the related entity performs, participates in, or is primarily associated with a main or most significant activity.
-
C.
majorFor
Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
-
D.
majorSegmentOf
Indicates that one entity constitutes a principal or most significant part of another larger whole.
-
E.
majorImport
Indicates that one entity is a primary or significant source of imported goods or resources for another entity.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a41b0fc81909890f2e4f432a5cf |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:02 p.m.