Triple

T20455006
Position Surface form Disambiguated ID Type / Status
Subject Sylhet railway station E501751 entity
Predicate connectsTo P845 FINISHED
Object Maijgaon
Maijgaon is a railway station in the Sylhet region of Bangladesh that serves as a local stop on the route connected to Sylhet railway station.
 E1432400 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: Maijgaon | Statement: [Sylhet railway station, connectsTo, Maijgaon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maijgaon
Context triple: [Sylhet railway station, connectsTo, Maijgaon]
  • A. Kajalgaon
    Kajalgaon is a town in the Indian state of Assam that serves as the administrative center of Chirang district.
  • B. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • C. Jagdishpur
    Jagdishpur is a town in the Amethi district of Uttar Pradesh, India, known for its industrial area and historical significance in the region.
  • D. Rajnandgaon
    Rajnandgaon is a city in the Indian state of Chhattisgarh known as a regional commercial and cultural center.
  • E. Kushalnagar
    Kushalnagar is a town in Karnataka’s Kodagu district, known as a gateway to the Coorg region and nearby river, dam, and nature attractions.
  • 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: Maijgaon
Triple: [Sylhet railway station, connectsTo, Maijgaon]
Generated description
Maijgaon is a railway station in the Sylhet region of Bangladesh that serves as a local stop on the route connected to Sylhet railway station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maijgaon
Target entity description: Maijgaon is a railway station in the Sylhet region of Bangladesh that serves as a local stop on the route connected to Sylhet railway station.
  • A. Kajalgaon
    Kajalgaon is a town in the Indian state of Assam that serves as the administrative center of Chirang district.
  • B. Jagdishpur
    Jagdishpur is a town in the Amethi district of Uttar Pradesh, India, known for its industrial area and historical significance in the region.
  • C. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • D. Rajnandgaon
    Rajnandgaon is a city in the Indian state of Chhattisgarh known as a regional commercial and cultural center.
  • E. Kushalnagar
    Kushalnagar is a town in Karnataka’s Kodagu district, known as a gateway to the Coorg region and nearby river, dam, and nature attractions.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a0dd188190ab6cbb387d9c0c1d completed April 20, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b0e1d308190abb75555b9d20fd7 completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088be79cd0819092da701d6d3d2a8a completed May 16, 2026, 3:23 p.m.
NED2 Entity disambiguation (via description) batch_6a088c7e46e48190b890f319ba4f2492 completed May 16, 2026, 3:25 p.m.
Created at: April 16, 2026, 11:32 a.m.