Triple
T246862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telugu |
E5056
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Andhra Pradesh |
E33989
|
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: Andhra Pradesh | Statement: [Telugu, region, Andhra Pradesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andhra Pradesh Context triple: [Telugu, region, Andhra Pradesh]
-
A.
Andhra Pradesh
chosen
Andhra Pradesh is a state in southeastern India known for its long coastline along the Bay of Bengal, Telugu-speaking population, and major cities such as Visakhapatnam and Vijayawada.
-
B.
Andhra State
Andhra State was a short-lived Telugu-speaking state in independent India, formed in 1953 from the northern districts of the former Madras State and later merged into Andhra Pradesh.
-
C.
Telangana
Telangana is a state in south-central India known for its predominantly Telugu-speaking population, rich Deccan heritage, and capital city Hyderabad.
-
D.
Tamil Nadu
Tamil Nadu is a state in southern India known for its rich Dravidian cultural heritage, classical arts, and major urban centers like Chennai.
-
E.
Karnataka
Karnataka is a state in southwestern India known for its diverse languages and cultures, major tech hub Bengaluru, and rich historical and architectural heritage.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d13b8088190a3f48f0388d57496 |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a40ace757c8190bc740a7d2d9a948a |
completed | March 1, 2026, 9:45 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.