Triple
T17628156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deoria district |
E429902
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Deoria city |
—
|
NE NERFINISHED |
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: Deoria city | Statement: [Deoria district, hasSettlement, Deoria city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deoria city Context triple: [Deoria district, hasSettlement, Deoria city]
-
A.
Deoria
chosen
Deoria is a prominent city and administrative center in eastern Uttar Pradesh, India, known for its role as a regional commercial and transportation hub.
-
B.
Deoria district
Deoria district is an administrative district in the eastern part of Uttar Pradesh, India, known for its agrarian economy and location in the Purvanchal region near the border with Bihar.
-
C.
Moradabad
Moradabad is a major city in northern India known for its brass handicraft industry and is located in the state of Uttar Pradesh.
-
D.
Aligarh
Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
-
E.
Unnao
Unnao is a city in northern India known for its historical significance and its location between the major urban centers of Lucknow and Kanpur in Uttar Pradesh.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbe3a308190a818d04f1a9b15f7 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.