Triple

T7016138
Position Surface form Disambiguated ID Type / Status
Subject Bandel E162703 entity
Predicate nearbyCity P350 FINISHED
Object Bansberia
Bansberia is a historic town in West Bengal, India, known for its terracotta temples and riverside location along the Hooghly River.
 E635159 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: Bansberia | Statement: [Bandel, nearbyCity, Bansberia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bansberia
Context triple: [Bandel, nearbyCity, Bansberia]
  • A. Aniba
    Aniba was an ancient Nubian settlement in Lower Nubia that served as an important Egyptian administrative and military center, especially during the Middle and New Kingdoms.
  • B. Brettia
    Brettia is the ancient Greek name for Bruttium, a historical region in the southern part of the Italian peninsula.
  • C. Nobatia
    Nobatia was an early medieval Nubian kingdom in Lower Nubia that emerged after the decline of Meroë and later became part of the Christian Nubian state of Makuria.
  • D. Ndrumbea
    Ndrumbea is an indigenous Austronesian language traditionally spoken by the Kanak people of New Caledonia in the South Pacific.
  • E. Bergalia
    Bergalia is a small rural locality in New South Wales, Australia, situated near the coastal town of Moruya.
  • 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: Bansberia
Triple: [Bandel, nearbyCity, Bansberia]
Generated description
Bansberia is a historic town in West Bengal, India, known for its terracotta temples and riverside location along the Hooghly River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bansberia
Target entity description: Bansberia is a historic town in West Bengal, India, known for its terracotta temples and riverside location along the Hooghly River.
  • A. Aniba
    Aniba was an ancient Nubian settlement in Lower Nubia that served as an important Egyptian administrative and military center, especially during the Middle and New Kingdoms.
  • B. Brettia
    Brettia is the ancient Greek name for Bruttium, a historical region in the southern part of the Italian peninsula.
  • C. Nobatia
    Nobatia was an early medieval Nubian kingdom in Lower Nubia that emerged after the decline of Meroë and later became part of the Christian Nubian state of Makuria.
  • D. Ndrumbea
    Ndrumbea is an indigenous Austronesian language traditionally spoken by the Kanak people of New Caledonia in the South Pacific.
  • E. Bergalia
    Bergalia is a small rural locality in New South Wales, Australia, situated near the coastal town of Moruya.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d43e948190843f1cef3ce2004e completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a5655d48190a2df556f63add35d completed March 28, 2026, 5:42 a.m.
NEDg Description generation batch_69c76b9702d4819099f873b37fad309b completed March 28, 2026, 5:48 a.m.
NED2 Entity disambiguation (via description) batch_69c76c10303c8190a08f1728da6ebcd2 completed March 28, 2026, 5:50 a.m.
Created at: March 27, 2026, 2:34 p.m.