Triple

T17992276
Position Surface form Disambiguated ID Type / Status
Subject Abu Dhabi Islamic Bank E430401 entity
Predicate abbreviation P43 FINISHED
Object ADIB
ADIB is a leading Islamic financial institution based in the United Arab Emirates that offers Sharia-compliant banking and financial services.
 E1300464 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: ADIB | Statement: [Abu Dhabi Islamic Bank, abbreviation, ADIB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ADIB
Context triple: [Abu Dhabi Islamic Bank, abbreviation, ADIB]
  • A. Abi Adi
    Abi Adi is a town in northern Ethiopia located within the Tigray Region.
  • B. IQD
    IQD is the ISO 4217 currency code for the Iraqi dinar, the official currency of Iraq.
  • C. ADI
    ADI is the station code for Ahmedabad Junction, a major railway hub in the Indian state of Gujarat.
  • D. ADI
    ADI is the stock ticker symbol for Analog Devices, Inc., a leading American semiconductor company specializing in analog, mixed-signal, and digital signal processing technologies.
  • E. AdaIN
    AdaIN (Adaptive Instance Normalization) is a neural network technique that adjusts feature statistics to transfer style information, widely used in style-based generative models like StyleGAN.
  • 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: ADIB
Triple: [Abu Dhabi Islamic Bank, abbreviation, ADIB]
Generated description
ADIB is a leading Islamic financial institution based in the United Arab Emirates that offers Sharia-compliant banking and financial services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ADIB
Target entity description: ADIB is a leading Islamic financial institution based in the United Arab Emirates that offers Sharia-compliant banking and financial services.
  • A. Abi Adi
    Abi Adi is a town in northern Ethiopia located within the Tigray Region.
  • B. IQD
    IQD is the ISO 4217 currency code for the Iraqi dinar, the official currency of Iraq.
  • C. ADI
    ADI is the station code for Ahmedabad Junction, a major railway hub in the Indian state of Gujarat.
  • D. ADI
    ADI is the stock ticker symbol for Analog Devices, Inc., a leading American semiconductor company specializing in analog, mixed-signal, and digital signal processing technologies.
  • E. AdaIN
    AdaIN (Adaptive Instance Normalization) is a neural network technique that adjusts feature statistics to transfer style information, widely used in style-based generative models like StyleGAN.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29fd7648190b7f09ea60c7b96a8 completed April 19, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337ae62588190b1a6464fb703cc8f completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca6a2608190a391694153070cc8 completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033d6bf3f48190ac141febc04608f6 completed May 12, 2026, 2:47 p.m.
Created at: April 10, 2026, 10:23 a.m.