Triple
T30776457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Bhagiratha |
E783685
|
entity |
| Predicate | causeOfGangaDescent |
P181253
|
FINISHED |
| Object | redemption of Sagara’s sons |
—
|
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: redemption of Sagara’s sons | Statement: [King Bhagiratha, causeOfGangaDescent, redemption of Sagara’s sons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfGangaDescent Context triple: [King Bhagiratha, causeOfGangaDescent, redemption of Sagara’s sons]
-
A.
causeOfDownfall
Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
-
B.
riverGhat
Indicates a relationship where a location serves as a river ghat, i.e., a stepped or designated access point to a river used for activities such as bathing, rituals, or boarding boats.
-
C.
سبب النزول
Indicates the relationship of being the specific cause, event, or circumstance that led to the revelation of a particular Quranic verse or passage.
-
D.
causeOfDisaster
Indicates that the subject is responsible for bringing about or triggering the specified disaster.
-
E.
reasonForDemise
Indicates the cause, circumstance, or factor that led to an entity’s death or termination.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f76759b3c48190ad8f1b33596f98c4 |
completed | May 3, 2026, 3:18 p.m. |
Created at: April 29, 2026, 8:40 p.m.