Triple
T2951750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajit Jain |
E79835
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Orissa, India |
E76751
|
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: Orissa, India | Statement: [Ajit Jain, birthPlace, Orissa, India]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orissa, India Context triple: [Ajit Jain, birthPlace, Orissa, India]
-
A.
Orissa
chosen
Orissa is a historical region and modern Indian state on the eastern coast of India, known for its rich cultural heritage, ancient temples, and significant role in the subcontinent’s political and economic history.
-
B.
Bihar
Bihar is a populous state in eastern India known for its rich historical heritage, including ancient centers of learning like Nalanda and significant sites in Buddhist history.
-
C.
West Bengal
West Bengal is an eastern Indian state known for its cultural heritage, literature, and the metropolis of Kolkata (formerly Calcutta).
-
D.
Odisha (parts)
Odisha (parts) refers to those areas of the modern Indian state of Odisha that were historically administered under the British-era Madras Presidency.
-
E.
Chhattisgarh
Chhattisgarh is a state in central India known for its rich mineral resources, dense forests, tribal cultures, and growing industrial and power sectors.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fcea5c8190b7d80de942bcb4f7 |
completed | March 8, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd567a48b881908e4bfec70943eb60 |
completed | March 20, 2026, 2:15 p.m. |
Created at: March 8, 2026, 2:57 p.m.