Triple
T4237717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yerawada |
E94732
|
entity |
| Predicate | state |
P87
|
FINISHED |
| Object | Maharashtra |
E19223
|
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: Maharashtra | Statement: [Yerawada, state, Maharashtra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maharashtra Context triple: [Yerawada, state, Maharashtra]
-
A.
Maharashtra
chosen
Maharashtra is a large and economically significant state in western India, known for its capital Mumbai, the country’s financial hub, and its rich cultural and historical heritage.
-
B.
Maharashtri
Maharashtri is an ancient Middle Indo-Aryan language, a major literary Prakrit historically used in parts of western and central India.
-
C.
Gujarat
Gujarat is a western coastal state of India known for its significant role in trade and industry, rich cultural heritage, and historic cities such as Ahmedabad.
-
D.
Maharashtra and Gujarat
Maharashtra and Gujarat are neighboring states in western India known for their major economic hubs, diverse cultures, and long Arabian Sea coastlines.
-
E.
Marathwada
Marathwada is a historically significant and predominantly rural region in central Maharashtra, India, known for its drought-prone agriculture, cultural heritage, and cities like Aurangabad.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e7589b48190a16e7ff29fb6a162 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f580e2488190bce70398502e11d4 |
completed | March 14, 2026, 11:55 p.m. |
Created at: March 12, 2026, 11:05 p.m.