Triple
T1247577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prayer of Manasseh |
E26801
|
entity |
| Predicate | textualTransmission |
P25760
|
FINISHED |
| Object | preserved mainly in Greek manuscripts |
—
|
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: preserved mainly in Greek manuscripts | Statement: [Prayer of Manasseh, textualTransmission, preserved mainly in Greek manuscripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualTransmission Context triple: [Prayer of Manasseh, textualTransmission, preserved mainly in Greek manuscripts]
-
A.
textType
Indicates the classification of a text according to its type, format, or genre.
-
B.
textMode
Indicates that something operates, is displayed, or is processed in a mode where information is handled primarily as text rather than as graphics or other media.
-
C.
transmissionStandard
Indicates the communication or signal protocol used to transmit data or content between systems or devices.
-
D.
transmission
Indicates the transfer or conveyance of something (such as information, energy, or material) from one entity to another.
-
E.
textualStructure
Indicates how parts of a text are organized and related to each other within its overall structure.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf6750a48190b86e9248ed54d90a |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc49693c8190978ec63a5171d342 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:47 p.m.