Triple
T15057624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Son River |
E379535
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Mirzapur region |
E161622
|
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: Mirzapur region | Statement: [Son River, nearbyCity, Mirzapur region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirzapur region Context triple: [Son River, nearbyCity, Mirzapur region]
-
A.
Mirzapur district
chosen
Mirzapur district is an administrative district in the southeastern part of Uttar Pradesh, India, known for its carpet industry, temples, and the nearby Vindhyachal pilgrimage site.
-
B.
Mirzapur division
Mirzapur division is an administrative division in the Indian state of Uttar Pradesh, centered around the city of Mirzapur and comprising several surrounding districts.
-
C.
Gangabai
Gangabai was the mother of Madhav Rao II, a prominent Maratha Peshwa of the late 18th century.
-
D.
Madhapur
Madhapur is a major IT and business district in Hyderabad, India, known for its technology parks, corporate offices, and modern urban infrastructure.
-
E.
Damoh
Damoh is a city in central India that serves as the administrative headquarters of Damoh district in the state of Madhya Pradesh.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda937f788190899d81bbb2084443 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c11fb4819086c4b85a8d29ccf7 |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 3:01 a.m.