Triple
T19361170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temurah textual tradition |
E484281
|
entity |
| Predicate | textualObject |
P39049
|
FINISHED |
| Object | divine names |
—
|
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: divine names | Statement: [Temurah textual tradition, textualObject, divine names]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualObject Context triple: [Temurah textual tradition, textualObject, divine names]
-
A.
textType
Indicates the classification of a text according to its type, format, or genre.
-
B.
textualStructure
Indicates how parts of a text are organized and related to each other within its overall structure.
-
C.
textualTransmission
Indicates the transfer or communication of information through written or printed text from one source to another.
-
D.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
-
E.
textContent
chosen
Indicates that one entity is the textual content or written material contained within another entity.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190c2a8081908f48dfa738248ec8 |
completed | April 20, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:34 p.m.