Triple
T158793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew 24 |
E3234
|
entity |
| Predicate | addressesTopic |
P3847
|
FINISHED |
| Object | end of the age |
—
|
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: end of the age | Statement: [Matthew 24, addressesTopic, end of the age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addressesTopic Context triple: [Matthew 24, addressesTopic, end of the age]
-
A.
addressesIssue
chosen
Indicates that one entity deals with, responds to, or attempts to resolve a specific issue associated with another entity.
-
B.
addresses
Indicates that one entity directs speech, communication, or written correspondence specifically toward another entity.
-
C.
address
Indicates that one entity directs spoken or written communication specifically to another entity.
-
D.
governmentBodyAddressed
Indicates that a particular government body is the one being directly addressed or targeted by a communication, action, or request.
-
E.
subjectCanBe
Indicates that the subject has the potential or capability to assume, become, or be classified as the specified object or state.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2583169a0819081b658882e5bc452 |
completed | Feb. 28, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69a25660c2a48190b4174d5e6da3cb9d |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.