Triple
T20262641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarāsandha |
E498882
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Prāpti |
—
|
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: Prāpti | Statement: [Jarāsandha, spouse, Prāpti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prāpti Context triple: [Jarāsandha, spouse, Prāpti]
-
A.
Prapti
chosen
Prapti is a figure in Hindu mythology known as the wife of the tyrant king Kamsa of Mathura.
-
B.
Prasouda
Prasouda is a small Greek island located in the Pagasetic Gulf, known for its tranquil natural setting and proximity to the coast of Thessaly.
-
C.
Sutikshna
Sutikshna is a sage in the Aranya Kanda of the Ramayana, known for offering hospitality and guidance to Rama, Sita, and Lakshmana during their exile in the forest.
-
D.
Tattvacintāmaṇi
Tattvacintāmaṇi is a foundational work of Indian logic and epistemology that systematizes the Navya-Nyāya school’s analysis of knowledge and inference.
-
E.
Prayaschita
Prayaschita is a notable literary work by pioneering Odia writer Fakir Mohan Senapati, reflecting his influential role in modern Odia literature.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cba2748190a886ecd8316dc518 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.