Triple

T16964653
Position Surface form Disambiguated ID Type / Status
Subject Household Food Insecurity Access Scale E411511 entity
Predicate abbreviation P43 FINISHED
Object HFIAS
HFIAS is a standardized survey tool used to measure the degree of food insecurity related to access in households, particularly in low- and middle-income settings.
 E1242563 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: HFIAS | Statement: [Household Food Insecurity Access Scale, abbreviation, HFIAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HFIAS
Context triple: [Household Food Insecurity Access Scale, abbreviation, HFIAS]
  • A. UNHCR
    UNHCR is the United Nations agency responsible for protecting and supporting refugees, asylum-seekers, and stateless people worldwide.
  • B. FIDA
    FIDA is a Palestinian leftist political party formally known as the Palestinian Democratic Union.
  • C. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • D. FIAS
    FIAS is the international governing body responsible for overseeing and promoting the combat sport of sambo worldwide.
  • E. HFA
    HFA is the IATA airport code for Haifa Airport, a regional airport serving the city of Haifa in northern Israel.
  • 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: HFIAS
Triple: [Household Food Insecurity Access Scale, abbreviation, HFIAS]
Generated description
HFIAS is a standardized survey tool used to measure the degree of food insecurity related to access in households, particularly in low- and middle-income settings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HFIAS
Target entity description: HFIAS is a standardized survey tool used to measure the degree of food insecurity related to access in households, particularly in low- and middle-income settings.
  • A. UNHCR
    UNHCR is the United Nations agency responsible for protecting and supporting refugees, asylum-seekers, and stateless people worldwide.
  • B. FIDA
    FIDA is a Palestinian leftist political party formally known as the Palestinian Democratic Union.
  • C. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • D. FIAS
    FIAS is the international governing body responsible for overseeing and promoting the combat sport of sambo worldwide.
  • E. HFA
    HFA is the IATA airport code for Haifa Airport, a regional airport serving the city of Haifa in northern Israel.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a2cda88190bd574a869f0e43e9 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46cb56481908c2bc6648a12fbcf completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d4f1bfa48190903bedc43ed6db75 completed May 10, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a00d59b96108190a0e55f01529a0b64 completed May 10, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:31 a.m.