Triple
T8404993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddhadeb Dasgupta |
E198471
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tope |
E102821
|
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: Tope | Statement: [Buddhadeb Dasgupta, notableWork, Tope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tope Context triple: [Buddhadeb Dasgupta, notableWork, Tope]
-
A.
Tope
chosen
Tope is the surname of Tatya Tope, a prominent leader and military commander in the Indian Rebellion of 1857.
-
B.
Opuwo
Opuwo is a remote town in northwestern Namibia that serves as an administrative and commercial hub for the surrounding Kunene Region and nearby Himba communities.
-
C.
Jirapa
Jirapa is a town in Ghana that serves as a local administrative and commercial center in the country’s Upper West Region.
-
D.
Mehinaku
The Mehinaku are an Indigenous people of Brazil living in the Upper Xingu region of the Amazon, known for their complex ritual life, communal village organization, and distinctive material culture.
-
E.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83116bf48190894bd5d5465520ef |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce02f8596c8190a61b6f1ffd5a609c |
completed | April 2, 2026, 5:47 a.m. |
Created at: March 30, 2026, 6:05 p.m.