Triple
T13053804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidhan Bhavan, Lucknow |
E327514
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hazratganj |
E155452
|
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: Hazratganj | Statement: [Vidhan Bhavan, Lucknow, locatedIn, Hazratganj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazratganj Context triple: [Vidhan Bhavan, Lucknow, locatedIn, Hazratganj]
-
A.
Hazratganj
chosen
Hazratganj is a historic and bustling commercial and cultural hub in Lucknow, known for its colonial-era architecture, shopping arcades, and vibrant street life.
-
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.
Hazaribagh
Hazaribagh is a town in the Indian state of Jharkhand known for its scenic hills, pleasant climate, and proximity to Hazaribagh National Park.
-
D.
Imamganj
Imamganj is a town and administrative block in the Gaya district of Bihar, India, known for its rural setting and local governance role in the region.
-
E.
Hoshangabad
Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bb52d88190b5be12000e27a2c9 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5ff8c308190a40274c68a1c5da3 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:58 p.m.