Triple
T6310878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nabaneeta Dev Sen |
E141496
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Naba-Nita |
E141496
|
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: Naba-Nita | Statement: [Nabaneeta Dev Sen, notableWork, Naba-Nita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naba-Nita Context triple: [Nabaneeta Dev Sen, notableWork, Naba-Nita]
-
A.
Naba-Nita
chosen
Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
-
B.
Nambya
Nambya are a Bantu-speaking ethnic group primarily found in northwestern Zimbabwe and parts of Botswana, known for their distinct language and cultural traditions.
-
C.
Niya
Niya is an ancient Silk Road oasis settlement in the southern Taklamakan Desert, known for its well-preserved archaeological remains that illuminate the culture and trade of the Kingdom of Khotan.
-
D.
Nabeina
Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
-
E.
Nindra
Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0648074b081908ba661651ba705a7 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e461e2ec8190af7198a03edb1ff7 |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:28 p.m.