Triple
T34147121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mīmāṃsā school |
E875889
|
entity |
| Predicate | foundationalTextBy |
P31721
|
FINISHED |
| Object | Jaimini |
—
|
NE NERFINISHED |
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: Jaimini | Statement: [Mīmāṃsā school, foundationalTextBy, Jaimini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundationalTextBy Context triple: [Mīmāṃsā school, foundationalTextBy, Jaimini]
-
A.
basedOnText
Indicates that something is derived, adapted, or developed from a specific text source.
-
B.
textBy
chosen
Indicates that a given text or written content was authored or produced by a particular entity.
-
C.
isAssociatedWithReligiousText
Indicates a relationship where an entity is connected or linked in some way to a religious text, such as being based on, derived from, or directly related to it.
-
D.
recognizesScripturesFrom
Indicates that one entity acknowledges or accepts certain scriptures as authoritative or valid based on another entity as their source or origin.
-
E.
usesTextBy
Indicates that one entity makes use of or relies on a text authored or provided by 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
Created at: May 1, 2026, 1:54 a.m.