Triple

T2881433
Position Surface form Disambiguated ID Type / Status
Subject Integrated Revolutionary Organizations E59404 entity
Predicate shortName P43 FINISHED
Object ORI
ORI is a revolutionary political organization known for uniting various radical groups under a single integrated movement.
 E307969 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: ORI | Statement: [Integrated Revolutionary Organizations, shortName, ORI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ORI
Context triple: [Integrated Revolutionary Organizations, shortName, ORI]
  • A. AORI
    AORI is a research institute based at the University of Tokyo’s Kashiwa Campus, known for advanced studies in ocean, climate, and earth system sciences.
  • B. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • C. ORIA
    ORIA is a division of the U.S. Environmental Protection Agency responsible for developing and implementing programs and regulations to protect the public from radiation and indoor air pollution.
  • D. ORX
    ORX is the ticker symbol used to represent the Orix Buffaloes, a professional baseball team in Japan's Nippon Professional Baseball league.
  • E. ORC
    ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
  • 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: ORI
Triple: [Integrated Revolutionary Organizations, shortName, ORI]
Generated description
ORI is a revolutionary political organization known for uniting various radical groups under a single integrated movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ORI
Target entity description: ORI is a revolutionary political organization known for uniting various radical groups under a single integrated movement.
  • A. AORI
    AORI is a research institute based at the University of Tokyo’s Kashiwa Campus, known for advanced studies in ocean, climate, and earth system sciences.
  • B. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • C. ORIA
    ORIA is a division of the U.S. Environmental Protection Agency responsible for developing and implementing programs and regulations to protect the public from radiation and indoor air pollution.
  • D. ORX
    ORX is the ticker symbol used to represent the Orix Buffaloes, a professional baseball team in Japan's Nippon Professional Baseball league.
  • E. ORC
    ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe02aa5948190a2e0bd9168232bd5 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b031633efc819088c2ea29eafaff0f completed March 10, 2026, 2:57 p.m.
NEDg Description generation batch_69b033894ca881908691b88e6108257c completed March 10, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69b03c3af7b48190b66bb32df59196e3 completed March 10, 2026, 3:43 p.m.
Created at: March 6, 2026, 10:03 p.m.