Triple
T5467097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Nahum |
E122736
|
entity |
| Predicate | messageSummary |
P37146
|
FINISHED |
| Object | judgment on Assyria and hope for Judah |
—
|
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: judgment on Assyria and hope for Judah | Statement: [Book of Nahum, messageSummary, judgment on Assyria and hope for Judah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: messageSummary Context triple: [Book of Nahum, messageSummary, judgment on Assyria and hope for Judah]
-
A.
intendedMessage
Indicates that one entity is the message or content that another entity aims or plans to communicate.
-
B.
centralMessage
chosen
Indicates the primary idea or core point that a communication, text, or message is intended to convey.
-
C.
messageHandling
Indicates how messages are received, processed, and responded to within a communication or messaging system.
-
D.
communicationsPayload
Indicates that an entity carries or contains equipment, data, or components specifically intended for communication purposes.
-
E.
judgmentMessage
Indicates that a message expresses an evaluation, opinion, or decision about a subject or situation.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.