Triple
T19731110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matsya kingdom |
E473854
|
entity |
| Predicate | hasRoyalFamilyMember |
P68121
|
FINISHED |
| Object | Satanika |
—
|
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: Satanika | Statement: [Matsya kingdom, hasRoyalFamilyMember, Satanika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satanika Context triple: [Matsya kingdom, hasRoyalFamilyMember, Satanika]
-
A.
Satanika
chosen
Satanika is a character from the Indian epic Mahabharata, known as one of the sons of Nakula and a warrior prince of the Pandava lineage.
-
B.
Satanaya
Satanaya is a central matriarchal figure and wise culture-heroine in the Nart sagas of the Caucasus, often portrayed as the mother and counselor of the Nart heroes.
-
C.
Shatana
Shatana is a character from the Nart sagas, the traditional epic cycle of the North Caucasus peoples.
-
D.
Satana
Satana is a Marvel Comics supernatural antiheroine and sorceress, the half-demon daughter of Satan and sister of Daimon Hellstrom.
-
E.
Satana
Satana is a town in the Nashik district of Maharashtra, India, known for its agricultural markets and proximity to several religious and historical sites.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e649fd18148190a6e85b2be0069dde |
completed | April 20, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:47 p.m.