Triple

T740907
Position Surface form Disambiguated ID Type / Status
Subject Global Innovation Index E15240 entity
Predicate hasAbbreviation P43 FINISHED
Object GII
GII is the commonly used abbreviation for the Global Innovation Index, an annual ranking that measures and compares countries’ innovation performance worldwide.
 E87396 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: GII | Statement: [Global Innovation Index, hasAbbreviation, GII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GII
Context triple: [Global Innovation Index, hasAbbreviation, GII]
  • A. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • B. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • C. GA
    GA is the official two-letter United States Postal Service abbreviation for the state of Georgia.
  • 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. HDI
    The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
  • 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: GII
Triple: [Global Innovation Index, hasAbbreviation, GII]
Generated description
GII is the commonly used abbreviation for the Global Innovation Index, an annual ranking that measures and compares countries’ innovation performance worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GII
Target entity description: GII is the commonly used abbreviation for the Global Innovation Index, an annual ranking that measures and compares countries’ innovation performance worldwide.
  • A. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • B. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • C. GA
    GA is the official two-letter United States Postal Service abbreviation for the state of Georgia.
  • 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. HDI
    The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5f4ccb48190a4eb8679a59d8e24 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a63f9288190b86e4a75467acce0 completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64aef14c48190b947a4c3a7becc0f completed March 3, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_69a64b80d5fc81909e69832457569064 completed March 3, 2026, 2:46 a.m.
Created at: March 1, 2026, 7:37 p.m.