Triple
T19794137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabalpur–Nainpur–Gondia route |
E475494
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Nainpur
Nainpur is a town in Madhya Pradesh, India, historically known as an important railway junction in the region.
|
E1397719
|
NE FINISHED |
How this triple was built (4 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: Nainpur | Statement: [Jabalpur–Nainpur–Gondia route, passesThrough, Nainpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nainpur Context triple: [Jabalpur–Nainpur–Gondia route, passesThrough, Nainpur]
-
A.
Siddharthnagar
Siddharthnagar is a town and district headquarters in the Purvanchal region of eastern Uttar Pradesh, India, known for its proximity to important Buddhist heritage sites.
-
B.
Jaunpur
Jaunpur is a historic city in the Indian state of Uttar Pradesh, known for its medieval architecture and cultural heritage.
-
C.
Tekanpur
Tekanpur is a town in Madhya Pradesh, India, best known for hosting the Border Security Force’s main training academy.
-
D.
Jalaun
Jalaun is a town in the Indian state of Uttar Pradesh known for its administrative role within the surrounding Jalaun district.
-
E.
Hajipur
Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nainpur Triple: [Jabalpur–Nainpur–Gondia route, passesThrough, Nainpur]
Generated description
Nainpur is a town in Madhya Pradesh, India, historically known as an important railway junction in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nainpur Target entity description: Nainpur is a town in Madhya Pradesh, India, historically known as an important railway junction in the region.
-
A.
Siddharthnagar
Siddharthnagar is a town and district headquarters in the Purvanchal region of eastern Uttar Pradesh, India, known for its proximity to important Buddhist heritage sites.
-
B.
Jaunpur
Jaunpur is a historic city in the Indian state of Uttar Pradesh, known for its medieval architecture and cultural heritage.
-
C.
Tekanpur
Tekanpur is a town in Madhya Pradesh, India, best known for hosting the Border Security Force’s main training academy.
-
D.
Jalaun
Jalaun is a town in the Indian state of Uttar Pradesh known for its administrative role within the surrounding Jalaun district.
-
E.
Hajipur
Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
- F. None of above. chosen
Provenance (5 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c5a7d48190b2a384f768d13750 |
completed | April 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccc402108190a7bc00e2431c8e67 |
completed | May 16, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_6a07cd57ef248190b5d763830513fa31 |
completed | May 16, 2026, 1:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d1032d5481908a575bd808e5eb9b |
completed | May 16, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:49 p.m.