Triple
T13804262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azamgarh district |
E331719
|
entity |
| Predicate | hasVidhanSabhaConstituency |
P23217
|
FINISHED |
| Object | Lalganj |
E1083465
|
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: Lalganj | Statement: [Azamgarh district, hasVidhanSabhaConstituency, Lalganj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lalganj Context triple: [Azamgarh district, hasVidhanSabhaConstituency, Lalganj]
-
A.
Lalganj
chosen
Lalganj is a town in the Azamgarh district of Uttar Pradesh, India, known as a local commercial and administrative center for surrounding rural areas.
-
B.
Nasrullaganj
Nasrullaganj is a town in the Indian state of Madhya Pradesh known as a local commercial and administrative center within the Sehore region.
-
C.
Hingalganj
Hingalganj is a small town in West Bengal, India, situated in the North 24 Parganas district near the Sundarbans region.
-
D.
Daryapur
Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
-
E.
Mahipalpur
Mahipalpur is an urban village and commercial area in Delhi, India, located near Indira Gandhi International Airport and known for its hotels, transport hubs, and proximity to major highways.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27f6afb4819081cce9ad37b1a0f8 |
completed | May 8, 2026, 12:01 a.m. |
Created at: April 9, 2026, 10:12 p.m.