Triple
T23955896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chhetri |
E603786
|
entity |
| Predicate | associatedVarna |
P47373
|
FINISHED |
| Object | Kshatriya |
—
|
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: Kshatriya | Statement: [Chhetri, associatedVarna, Kshatriya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedVarna Context triple: [Chhetri, associatedVarna, Kshatriya]
-
A.
varnaSystem
chosen
Indicates a relationship where individuals or groups are classified according to the traditional hierarchical varna (caste) system.
-
B.
associatedVow
Indicates a relationship where a vow is linked or connected to a particular entity or event.
-
C.
distanceFromVarna
Indicates the measured or specified distance between a given entity and the location Varna.
-
D.
associatedVice
Indicates a relationship where one entity is linked to or connected with a particular vice, wrongdoing, or morally negative behavior of another entity.
-
E.
relationshipToVarinia
Indicates a relational connection or association that an entity has specifically with Varinia.
- 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d6d7688190bedf55dda8e72b2b |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:21 p.m.