Triple
T4912301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kothandaramaswamy Temple |
E110260
|
entity |
| Predicate | hasIdolOf |
P59398
|
FINISHED |
| Object | Sita |
E112939
|
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: Sita | Statement: [Kothandaramaswamy Temple, hasIdolOf, Sita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sita Context triple: [Kothandaramaswamy Temple, hasIdolOf, Sita]
-
A.
Sita
chosen
Sita is a revered heroine in Hindu mythology, celebrated as the devoted wife of Lord Rama and an enduring symbol of virtue, loyalty, and courage.
-
B.
Shikhandi
Shikhandi is a pivotal and complex warrior in the Mahabharata, known for being instrumental in the downfall of Bhishma during the Kurukshetra War due to their unique gender history and past-life connection.
-
C.
Rukmini
Rukmini is a principal queen of the Hindu god Krishna, revered as an incarnation of the goddess Lakshmi and celebrated for her devotion and role in Krishna’s life.
-
D.
Chitrangada
Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
-
E.
Kaushalya
Kaushalya is a queen of Ayodhya and the mother of Lord Rama in the ancient Indian epic Ramayana.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7163789c81909d5c7d0f6756ca58 |
completed | March 20, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef7e68058819089e179a29ab700bc |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:29 p.m.