Triple
T4147041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jayabaya |
E89809
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Sarveswara |
E414860
|
NE 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: Sarveswara | Statement: [Jayabaya, successor, Sarveswara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarveswara Context triple: [Jayabaya, successor, Sarveswara]
-
A.
Narayana
Narayana is a revered name of the Hindu god Vishnu, especially associated with his role as the supreme preserver and sustainer of the universe.
-
B.
Shanmukha
Shanmukha is a revered Hindu deity of war and victory, widely worshipped as the six-faced son of Shiva and Parvati.
-
C.
Kameswara
chosen
Kameswara was a king of the Kediri (Kadiri) kingdom in East Java, Indonesia, known from Javanese historical traditions as one of the early rulers in the succession that included the famed King Jayabaya.
-
D.
Shankara
Shankara is a revered epithet of the Hindu god Shiva, highlighting his role as a benevolent and auspicious divine benefactor.
-
E.
Mrigadava
Mrigadava is the ancient deer park near Sarnath in India where Gautama Buddha is said to have delivered his first sermon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af026130bc8190ae3b0e9bec5ccad6 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f3136c48190b158142311bfbc6d |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:43 p.m.