Triple
T4930775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganapatya tradition |
E110688
|
entity |
| Predicate | hasSubsect |
P17297
|
FINISHED |
| Object | different Ganapatya sampradayas (lineages) |
—
|
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: different Ganapatya sampradayas (lineages) | Statement: [Ganapatya tradition, hasSubsect, different Ganapatya sampradayas (lineages)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubsect Context triple: [Ganapatya tradition, hasSubsect, different Ganapatya sampradayas (lineages)]
-
A.
hasSect
chosen
Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
-
B.
hasSubdiscipline
Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
-
C.
hasSubSeries
Indicates that one series is a subordinate or component series within a larger parent series.
-
D.
hasSubConcept
Indicates that one concept is a more specific, subordinate, or narrower idea within the scope of another, more general concept.
-
E.
hasSubcriterion
Indicates that a criterion includes another, more specific criterion as a subordinate part of its evaluation structure.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd706245e48190a61d573438461c30 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.