Triple
T19730974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swayamvara of Draupadi |
E473851
|
entity |
| Predicate | featuresTask |
P137119
|
FINISHED |
| Object | archery feat |
—
|
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: archery feat | Statement: [Swayamvara of Draupadi, featuresTask, archery feat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresTask Context triple: [Swayamvara of Draupadi, featuresTask, archery feat]
-
A.
featuresAction
Indicates that one entity includes, presents, or showcases a particular action as a notable characteristic or component.
-
B.
featuresTopic
Indicates that something (such as a work, event, or item) prominently includes, focuses on, or is organized around a particular topic.
-
C.
featuresService
Indicates that one entity provides, includes, or offers a particular service as a notable characteristic or component.
-
D.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
E.
featuresOrchestrationBy
Indicates that something (such as a work, event, or performance) is characterized by or includes orchestration carried out by a particular agent or entity.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fbeaf081909e9356229eaf84dd |
completed | April 20, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:47 p.m.