Triple

T25256419
Position Surface form Disambiguated ID Type / Status
Subject Bank of Bengal E633184 entity
Predicate sisterBank P158317 FINISHED
Object Bank of Bombay
The Bank of Bombay was one of the early presidency banks in British India that later merged into the Imperial Bank of India, a precursor to today’s State Bank of India.
 E1674302 NE FINISHED

How this triple was built (3 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: Bank of Bombay | Statement: [Bank of Bengal, sisterBank, Bank of Bombay]
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: Bank of Bombay
Triple: [Bank of Bengal, sisterBank, Bank of Bombay]
Generated description
The Bank of Bombay was one of the early presidency banks in British India that later merged into the Imperial Bank of India, a precursor to today’s State Bank of India.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: sisterBank
Context triple: [Bank of Bengal, sisterBank, Bank of Bombay]
  • A. servesBank
    Indicates that one entity provides banking or financial services to another entity.
  • B. tributaryBank
    Indicates that one bank or financial institution is a subsidiary or dependent branch of another, larger or primary bank.
  • C. riverBankOne
    Indicates that the referenced entity is one specific side or bank of a river, typically the first or primary one in a pairwise relation.
  • D. hasFinancialInstitution
    Indicates that one entity is associated with or linked to a financial institution, such as a bank or similar financial service provider.
  • E. trackBanking
    Indicates monitoring, recording, or managing banking-related activities or transactions associated with an entity.
  • F. None of above. chosen

Provenance (7 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_69e75a922ad481908f4f1f884583cb42 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f4838d5a7881908b8bfd03cf6f51b6 completed May 1, 2026, 10:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1075d2df1881908ce18838c71f16e5 completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a1076d69a948190a72c4e681021150c completed May 22, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_6a10776edaf8819086cfe23f2dea8a29 completed May 22, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69f45d06d0388190b36ecde92013624a completed May 1, 2026, 7:57 a.m.
PDg Predicate description generation batch_69f465699c9c8190ac7b4b32b782550c completed May 1, 2026, 8:33 a.m.
Created at: April 21, 2026, 1:13 p.m.