Triple
T11068327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baladi rite |
E261680
|
entity |
| Predicate | textualApproach |
P97621
|
FINISHED |
| Object | minimal alteration of inherited texts |
—
|
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: minimal alteration of inherited texts | Statement: [Baladi rite, textualApproach, minimal alteration of inherited texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualApproach Context triple: [Baladi rite, textualApproach, minimal alteration of inherited texts]
-
A.
textuallySystematizedBy
Indicates that information, concepts, or data are organized, structured, or codified into a systematic textual form by a particular agent or source.
-
B.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
-
C.
textualFunction
Indicates a functional or structural role that a text segment serves within a larger document or discourse (e.g., title, caption, summary, instruction).
-
D.
textualStructure
Indicates how parts of a text are organized and related to each other within its overall structure.
-
E.
textualTransmission
Indicates the transfer or communication of information through written or printed text from one source to another.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7992164d88190a01ed567b2529227 |
completed | April 9, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.