Triple
T395953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godavari |
E8982
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Wardha |
E37639
|
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: Wardha | Statement: [Godavari, hasTributary, Wardha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wardha Context triple: [Godavari, hasTributary, Wardha]
-
A.
Wardha district
chosen
Wardha district is an administrative region in the Indian state of Maharashtra, historically significant as a center of India’s independence movement and home to Mahatma Gandhi’s Sevagram Ashram.
-
B.
Jhansi
Jhansi is a historic city in northern India, renowned for its strategic fort and its central role in the 1857 uprising against British colonial rule.
-
C.
Aurangabad
Aurangabad is a historic city in the Indian state of Maharashtra, known for its rich cultural heritage and proximity to UNESCO World Heritage Sites like the Ajanta and Ellora Caves.
-
D.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
-
E.
Jabalpur
Jabalpur is a major city in the central Indian state of Madhya Pradesh, known for its industrial base, educational institutions, and nearby marble rock formations along the Narmada River.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec792dd081909b6b18a854139f8c |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a44cb531548190b378444ccf7a6283 |
completed | March 1, 2026, 2:27 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.