Triple

T1708039
Position Surface form Disambiguated ID Type / Status
Subject Group of 24 E36914 entity
Predicate shortName P43 FINISHED
Object G-24
G-24 is an intergovernmental group of developing countries that coordinates positions on international monetary and development finance issues.
E193483 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: G-24 | Statement: [Group of 24, shortName, G-24]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: G-24
Context triple: [Group of 24, shortName, G-24]
  • A. GIPSA
    GIPSA is a former agency of the U.S. Department of Agriculture responsible for ensuring fair trading practices and accurate inspection and weighing in the grain, livestock, and poultry industries.
  • B. Grunsfeld
    Grunsfeld is the surname of Ernest A. Grunsfeld Jr., an American architect known for his work on notable buildings in Chicago.
  • C. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • D. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • E. GCMG
    GCMG is the highest class of the Order of St Michael and St George, a British order of chivalry typically awarded to senior diplomats and officials for distinguished service in foreign affairs or overseas.
  • 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: G-24
Triple: [Group of 24, shortName, G-24]
Generated description
G-24 is an intergovernmental group of developing countries that coordinates positions on international monetary and development finance issues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: G-24
Target entity description: G-24 is an intergovernmental group of developing countries that coordinates positions on international monetary and development finance issues.
  • A. GIPSA
    GIPSA is a former agency of the U.S. Department of Agriculture responsible for ensuring fair trading practices and accurate inspection and weighing in the grain, livestock, and poultry industries.
  • B. Grunsfeld
    Grunsfeld is the surname of Ernest A. Grunsfeld Jr., an American architect known for his work on notable buildings in Chicago.
  • C. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • D. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • E. GCMG
    GCMG is the highest class of the Order of St Michael and St George, a British order of chivalry typically awarded to senior diplomats and officials for distinguished service in foreign affairs or overseas.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62f6fc9c8190b61cc9872cc2adc0 completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ad849648190b2bb0e2a50cd6c75 completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957912808190be5b6ed8d3f20535 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97accca48190bc43e94337589a5f completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.