Triple
T19406637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kushika dynasty |
E485478
|
entity |
| Predicate | functionInLiterature |
P135758
|
FINISHED |
| Object | exemplifies ideal royal patrons of Vedic seers |
—
|
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: exemplifies ideal royal patrons of Vedic seers | Statement: [Kushika dynasty, functionInLiterature, exemplifies ideal royal patrons of Vedic seers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionInLiterature Context triple: [Kushika dynasty, functionInLiterature, exemplifies ideal royal patrons of Vedic seers]
-
A.
inLiterature
Indicates that a work, concept, or entity is mentioned, discussed, or represented within a piece of literature.
-
B.
literarySubject
Indicates that one entity serves as the subject, topic, or focus of a literary work created by another entity.
-
C.
languageWithinFiction
Indicates that a language is used or exists within the context of a fictional work or fictional universe.
-
D.
literaryFeature
Indicates a relationship where something possesses or exhibits a characteristic, device, or stylistic element used in literature.
-
E.
nameInLiterature
Indicates that a particular name is used or appears for an entity within a literary work or context.
- F. None of above. chosen
Provenance (4 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6257bad0c819088dd7729b6a36a94 |
completed | April 20, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:36 p.m.