Triple
T17979418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sitarama |
E449559
|
entity |
| Predicate | relatedConcept |
P37
|
FINISHED |
| Object | Rama-Sita |
—
|
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: Rama-Sita | Statement: [Sitarama, relatedConcept, Rama-Sita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rama-Sita Context triple: [Sitarama, relatedConcept, Rama-Sita]
-
A.
Rama with Sita
chosen
Rama with Sita refers to the revered divine couple in Hinduism, embodying the ideals of righteousness, devotion, and marital fidelity.
-
B.
Yudhishthira and Draupadi
Yudhishthira and Draupadi are central figures in the Indian epic Mahabharata, known respectively as the eldest Pandava prince famed for his righteousness and the shared wife of the five Pandavas whose humiliation becomes a key catalyst for the Kurukshetra war.
-
C.
Rama
Rama is a river in Bosnia and Herzegovina that flows through mountainous terrain before joining the Neretva River.
-
D.
Rama
Rama is a well-known margarine and spread brand widely used for cooking and baking in various international markets.
-
E.
Rama
Rama is a common Albanian surname notably borne by Edi Rama, the Prime Minister of Albania.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b201d1508190a9d6abbfd04bdcae |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.