Triple
T6713683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram Mandir, Ayodhya |
E153209
|
entity |
| Predicate | hasDeity |
P5606
|
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: [Ram Mandir, Ayodhya, hasDeity, Sita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sita Context triple: [Ram Mandir, Ayodhya, hasDeity, 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.
Urmila
Urmila is a character in the Hindu epic Ramayana, revered as the devoted wife of Lakshmana and sister of Sita.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d122d6cc81909bde0c94fb95f016 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700948788819087f9b466be337286 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:07 p.m.