Triple
T7495014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partha Sarathi |
E177100
|
entity |
| Predicate | SarathiMeans |
P40706
|
FINISHED |
| Object | charioteer |
—
|
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: charioteer | Statement: [Partha Sarathi, SarathiMeans, charioteer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SarathiMeans Context triple: [Partha Sarathi, SarathiMeans, charioteer]
-
A.
chariotOfSubhadra
Indicates the relationship in which a chariot is associated with, or belongs to, Subhadra.
-
B.
charioteerOf
chosen
Indicates that one entity serves as the driver or controller of a chariot belonging to or associated with another entity.
-
C.
hasMatha
Indicates a relationship where one entity possesses, is associated with, or is characterized by a specific matha (monastic institution or religious seat).
-
D.
isPancharangaKshetram
Indicates that a temple or sacred site is recognized as one of the Pancharanga Kshetrams, the five traditional holy shrines dedicated to Lord Ranganatha (Vishnu) along the Kaveri river.
-
E.
chariotDrawnBy
Indicates that a chariot is pulled or propelled by a specified animal or team of animals.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:43 p.m.