Triple

T14050865
Position Surface form Disambiguated ID Type / Status
Subject Ado E338084 entity
Predicate hasStateCode P15056 FINISHED
Object NG-BN
NG-BN is the ISO 3166-2 state code for Benue State in Nigeria.
E1076733 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: NG-BN | Statement: [Ado, hasStateCode, NG-BN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NG-BN
Context triple: [Ado, hasStateCode, NG-BN]
  • A. .bn
    .bn is the country code top-level domain (ccTLD) assigned to Brunei Darussalam for use in its internet addresses.
  • B. BN7
    BN7 is a UK postal district within the BN (Brighton) postcode area, covering parts of Lewes and its surrounding region in East Sussex.
  • C. BNNS
    BNNS (Basic Neural Network Subroutines) is Apple’s low-level, hardware-accelerated framework for performing neural network and machine learning computations efficiently on Apple devices.
  • D. BN3
    BN3 is a UK postal district covering the Hove area and parts of Brighton in East Sussex.
  • E. BnG
    BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
  • 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: NG-BN
Triple: [Ado, hasStateCode, NG-BN]
Generated description
NG-BN is the ISO 3166-2 state code for Benue State in Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NG-BN
Target entity description: NG-BN is the ISO 3166-2 state code for Benue State in Nigeria.
  • A. .bn
    .bn is the country code top-level domain (ccTLD) assigned to Brunei Darussalam for use in its internet addresses.
  • B. BN7
    BN7 is a UK postal district within the BN (Brighton) postcode area, covering parts of Lewes and its surrounding region in East Sussex.
  • C. BNNS
    BNNS (Basic Neural Network Subroutines) is Apple’s low-level, hardware-accelerated framework for performing neural network and machine learning computations efficiently on Apple devices.
  • D. BN3
    BN3 is a UK postal district covering the Hove area and parts of Brighton in East Sussex.
  • E. BnG
    BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8a518081908ad030ba48b7b946 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc345a4c081908f803cc53b4f8bca completed May 6, 2026, 10:40 p.m.
NEDg Description generation batch_69fc4654f96c8190a4fa6a12bdfbec33 completed May 7, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69fc4777e13c8190a705d44d20ca2ca5 completed May 7, 2026, 8:04 a.m.
Created at: April 9, 2026, 10:20 p.m.