Triple
T13661817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mau district |
E327015
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Azamgarh district |
E331719
|
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: Azamgarh district | Statement: [Mau district, borderedBy, Azamgarh district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azamgarh district Context triple: [Mau district, borderedBy, Azamgarh district]
-
A.
Azamgarh district
chosen
Azamgarh district is an administrative region in the Indian state of Uttar Pradesh, known for its historical significance, cultural heritage, and growing connectivity within eastern Uttar Pradesh.
-
B.
Amroha district
Amroha district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and cultural heritage.
-
C.
Jaunpur district
Jaunpur district is an administrative region in the Indian state of Uttar Pradesh, known for its historical significance and fertile plains.
-
D.
Jalaun district
Jalaun district is an administrative district in the state of Uttar Pradesh, India, located in the Bundelkhand region and known for its predominantly agrarian landscape.
-
E.
Bhadohi district
Bhadohi district is a district in the Indian state of Uttar Pradesh, widely known as a major center for carpet weaving and textile production.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc620df208190afaccf3ddd10aa60 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d96bc4819083f8b26dfdb3590f |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 9:52 p.m.