Triple
T21671725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaishya varna |
E534863
|
entity |
| Predicate | positionInVarnaHierarchy |
P94726
|
FINISHED |
| Object | third |
—
|
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: third | Statement: [Vaishya varna, positionInVarnaHierarchy, third]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInVarnaHierarchy Context triple: [Vaishya varna, positionInVarnaHierarchy, third]
-
A.
rankInVarnaSystem
chosen
Indicates the relative social or ritual status an entity holds within a hierarchical varna (caste) classification system.
-
B.
varnaSystem
Indicates a relationship where individuals or groups are classified according to the traditional hierarchical varna (caste) system.
-
C.
distanceFromVarna
Indicates the measured or specified distance between a given entity and the location Varna.
-
D.
chartPositionBulgaria
Indicates the position or ranking something holds on a chart or listing specifically within Bulgaria.
-
E.
distanceFromSofia
Indicates the spatial distance between a given entity and the city of Sofia.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0cd7648190b9981393f0b2bee9 |
completed | April 27, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:39 p.m.