Triple

T16659045
Position Surface form Disambiguated ID Type / Status
Subject Howrah–Bardhaman main line E404809 entity
Predicate servesTown P847 FINISHED
Object Mogra
Mogra is a town in West Bengal, India, located along the Howrah–Bardhaman main railway line and functioning as a suburban locality within the Kolkata metropolitan region.
 E1226445 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: Mogra | Statement: [Howrah–Bardhaman main line, servesTown, Mogra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mogra
Context triple: [Howrah–Bardhaman main line, servesTown, Mogra]
  • A. Mogareeka
    Mogareeka is a small coastal locality in New South Wales, Australia, known for its beaches and estuarine scenery near Tathra.
  • B. Moxhe
    Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
  • C. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • D. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • E. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • 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: Mogra
Triple: [Howrah–Bardhaman main line, servesTown, Mogra]
Generated description
Mogra is a town in West Bengal, India, located along the Howrah–Bardhaman main railway line and functioning as a suburban locality within the Kolkata metropolitan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mogra
Target entity description: Mogra is a town in West Bengal, India, located along the Howrah–Bardhaman main railway line and functioning as a suburban locality within the Kolkata metropolitan region.
  • A. Mogareeka
    Mogareeka is a small coastal locality in New South Wales, Australia, known for its beaches and estuarine scenery near Tathra.
  • B. Moxhe
    Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
  • C. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • D. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • E. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfcbb6881909c0419174dd017dc completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084ce7cf0819091e7a4de2cc010ea completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a00862fe04481908bc114001357aea9 completed May 10, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_6a00879d9f948190bdf40ff7be2505ff completed May 10, 2026, 1:26 p.m.
Created at: April 10, 2026, 5:18 a.m.