Triple

T1413272
Position Surface form Disambiguated ID Type / Status
Subject Guinea-Bissau E31850 entity
Predicate ISO3166-1Alpha3Code P189 FINISHED
Object GNB
GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
 E162113 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: GNB | Statement: [Guinea-Bissau, ISO3166-1Alpha3Code, GNB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GNB
Context triple: [Guinea-Bissau, ISO3166-1Alpha3Code, GNB]
  • A. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • B. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • C. GAB
    GAB is the three-letter ISO 3166-1 alpha-3 country code assigned to Gabon.
  • D. NKGB
    NKGB was a Soviet state security and intelligence agency that operated before the formation of the KGB, handling internal security, counterintelligence, and secret police functions.
  • E. SNB
    SNB is the central bank of Switzerland responsible for the country’s monetary policy and the stability of the Swiss financial system.
  • 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: GNB
Triple: [Guinea-Bissau, ISO3166-1Alpha3Code, GNB]
Generated description
GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GNB
Target entity description: GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
  • A. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • B. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • C. GAB
    GAB is the three-letter ISO 3166-1 alpha-3 country code assigned to Gabon.
  • D. NKGB
    NKGB was a Soviet state security and intelligence agency that operated before the formation of the KGB, handling internal security, counterintelligence, and secret police functions.
  • E. SNB
    SNB is the central bank of Switzerland responsible for the country’s monetary policy and the stability of the Swiss financial system.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e476f08190aed1576805c62462 completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace57ec2d88190b06d0f20e3b52462 completed March 8, 2026, 2:57 a.m.
NEDg Description generation batch_69ace5fc91d081909b33009d06a38616 completed March 8, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69ace6c10f54819089a4afcf49ef894f completed March 8, 2026, 3:02 a.m.
Created at: March 1, 2026, 7:59 p.m.