Triple

T3094312
Position Surface form Disambiguated ID Type / Status
Subject Government and Binding Theory E64555 entity
Predicate hasAbbreviation P43 FINISHED
Object GB
GB is a major generative grammar framework in linguistics developed by Noam Chomsky that explains how sentences are structured in the human mind.
 E326799 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: GB | Statement: [Government and Binding Theory, hasAbbreviation, GB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GB
Context triple: [Government and Binding Theory, hasAbbreviation, GB]
  • A. GB
    GB is the ISO 3166-1 alpha-2 country code for the United Kingdom of Great Britain and Northern Ireland.
  • B. GB
    GB is the common abbreviation for Gençlerbirliği S.K., a professional football club based in Ankara, Turkey.
  • C. GA
    GA is the commonly used abbreviation for the United Nations General Assembly, the main deliberative body of the UN where all member states are represented.
  • D. GA
    GA is the IATA airline designator for Garuda Indonesia, the national flag carrier of Indonesia.
  • E. GA
    GA is the abbreviation commonly used for Greater Anglia, a train operating company serving routes in East Anglia and London in the United Kingdom.
  • 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: GB
Triple: [Government and Binding Theory, hasAbbreviation, GB]
Generated description
GB is a major generative grammar framework in linguistics developed by Noam Chomsky that explains how sentences are structured in the human mind.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GB
Target entity description: GB is a major generative grammar framework in linguistics developed by Noam Chomsky that explains how sentences are structured in the human mind.
  • A. GB
    GB is the ISO 3166-1 alpha-2 country code for the United Kingdom of Great Britain and Northern Ireland.
  • B. GB
    GB is the common abbreviation for Gençlerbirliği S.K., a professional football club based in Ankara, Turkey.
  • C. GA
    GA is the commonly used abbreviation for the United Nations General Assembly, the main deliberative body of the UN where all member states are represented.
  • D. GA
    GA is the IATA airline designator for Garuda Indonesia, the national flag carrier of Indonesia.
  • E. GA
    GA is the abbreviation commonly used for Greater Anglia, a train operating company serving routes in East Anglia and London in the United Kingdom.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada239a8c88190a746892b56ee7e02 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20370aba48190a31ec25bca0a4727 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b2046f76488190adef6685544b080e completed March 12, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69b2054bca388190ad40b2303ac96373 completed March 12, 2026, 12:14 a.m.
Created at: March 8, 2026, 3:03 p.m.