Triple

T4061094
Position Surface form Disambiguated ID Type / Status
Subject Gilgit E86211 entity
Predicate regionCode P208 FINISHED
Object GB
GB is the regional code for Gilgit-Baltistan, a mountainous administrative territory in northern Pakistan known for its high peaks and strategic location.
 E409902 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: [Gilgit, regionCode, GB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GB
Context triple: [Gilgit, regionCode, 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. GB
    GB is a major generative grammar framework in linguistics developed by Noam Chomsky that explains how sentences are structured in the human mind.
  • D. 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.
  • E. GA
    GA is the IATA airline designator for Garuda Indonesia, the national flag carrier of Indonesia.
  • 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: [Gilgit, regionCode, GB]
Generated description
GB is the regional code for Gilgit-Baltistan, a mountainous administrative territory in northern Pakistan known for its high peaks and strategic location.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GB
Target entity description: GB is the regional code for Gilgit-Baltistan, a mountainous administrative territory in northern Pakistan known for its high peaks and strategic location.
  • 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. GB
    GB is a major generative grammar framework in linguistics developed by Noam Chomsky that explains how sentences are structured in the human mind.
  • D. 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.
  • E. GA
    GA is the IATA airline designator for Garuda Indonesia, the national flag carrier of Indonesia.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd4acb0819093bcffcd05ed8e6f completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562ac25848190951431c9c853cc59 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b5633103e081909dbe7a7e54877343 completed March 14, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69b563eca17c81908deff0d361a7be87 completed March 14, 2026, 1:34 p.m.
Created at: March 9, 2026, 3:38 p.m.