Triple

T337013
Position Surface form Disambiguated ID Type / Status
Subject Human Development Index E6750 entity
Predicate alsoKnownAs P39 FINISHED
Object 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.
 E42733 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: HDI | Statement: [Human Development Index, alsoKnownAs, HDI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HDI
Context triple: [Human Development Index, alsoKnownAs, HDI]
  • A. HTI
    HTI is the three-letter ISO 3166-1 alpha-3 country code assigned to Haiti for international standardization and identification.
  • B. HI
    HI is the standard two-letter U.S. postal abbreviation for the state of Hawaii.
  • C. HMC
    HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
  • D. HMT
    HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
  • E. HCR
    HCR is the commonly used abbreviation for the United Nations High Commissioner for Refugees, the UN agency responsible for protecting and supporting refugees worldwide.
  • 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: HDI
Triple: [Human Development Index, alsoKnownAs, HDI]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HDI
Target entity description: 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.
  • A. HTI
    HTI is the three-letter ISO 3166-1 alpha-3 country code assigned to Haiti for international standardization and identification.
  • B. HI
    HI is the standard two-letter U.S. postal abbreviation for the state of Hawaii.
  • C. HMC
    HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
  • D. HMT
    HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
  • E. HCR
    HCR is the commonly used abbreviation for the United Nations High Commissioner for Refugees, the UN agency responsible for protecting and supporting refugees worldwide.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac950388190829875a07d821ddf completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d24903d881909ddd6726dce4d535 completed March 1, 2026, 5:44 a.m.
NEDg Description generation batch_69a3d2d8aa64819095cdee306bec77ec completed March 1, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_69a3d370d200819089eaf114357a8ca3 completed March 1, 2026, 5:49 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.