Triple
T15801290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaydi kalam |
E383102
|
entity |
| Predicate | systematizedIn |
P58665
|
FINISHED |
| Object | scholastic treatises |
—
|
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: scholastic treatises | Statement: [Zaydi kalam, systematizedIn, scholastic treatises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: systematizedIn Context triple: [Zaydi kalam, systematizedIn, scholastic treatises]
-
A.
systematic
Indicates that an action or process is carried out according to an organized, methodical, and consistent system or plan.
-
B.
systematicallyPresents
Indicates that one entity presents or displays another in an organized, methodical, and structured manner.
-
C.
textuallySystematizedBy
chosen
Indicates that information, concepts, or data are organized, structured, or codified into a systematic textual form by a particular agent or source.
-
D.
systematics
Indicates the relationship of organizing, classifying, and arranging entities into a structured system based on their characteristics or relationships.
-
E.
systematicsNote
Indicates that there is an associated comment or annotation concerning the classification or systematic arrangement of the entities involved.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b522a2988190b2a2bde2da31b21e |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.