Triple

T21178066
Position Surface form Disambiguated ID Type / Status
Subject IC II E521867 entity
Predicate follows P134 FINISHED
Object IC I
IC I is the first International Congress, a foundational gathering that preceded and set the stage for IC II.
E1470423 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: IC I | Statement: [IC II, follows, IC I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IC I
Context triple: [IC II, follows, IC I]
  • A. IC1
    IC1 is a major Portuguese roadway that serves as an important inland north–south route connecting multiple regions and towns.
  • B. IC
    IC was the stock ticker symbol used by the historic Illinois Central Railroad, a major U.S. railroad that played a key role in Midwestern and Southern rail transport.
  • C. IC
    IC is the School of Computer and Communication Sciences at EPFL, renowned for its research and education in computer science, communications, and information technology.
  • D. IC
    IC is a common abbreviation for Iowa City, a university-centered community best known as the home of the University of Iowa and its renowned Writers' Workshop.
  • E. IC
    IC is a category of long-distance passenger trains in Poland, operated by PKP Intercity and offering intercity connections between major cities.
  • 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: IC I
Triple: [IC II, follows, IC I]
Generated description
IC I is the first International Congress, a foundational gathering that preceded and set the stage for IC II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IC I
Target entity description: IC I is the first International Congress, a foundational gathering that preceded and set the stage for IC II.
  • A. IC1
    IC1 is a major Portuguese roadway that serves as an important inland north–south route connecting multiple regions and towns.
  • B. IC
    IC is a category of long-distance passenger trains in Poland, operated by PKP Intercity and offering intercity connections between major cities.
  • C. IC
    IC was the stock ticker symbol used by the historic Illinois Central Railroad, a major U.S. railroad that played a key role in Midwestern and Southern rail transport.
  • D. IC
    IC is the School of Computer and Communication Sciences at EPFL, renowned for its research and education in computer science, communications, and information technology.
  • E. IC
    IC is a widely used astronomical catalog designation for deep-sky objects such as galaxies, nebulae, and star clusters.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301a8198819092daa1c847889a88 completed April 21, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09757967588190bb6c8c940fe8d0de completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a09764338fc8190be908a6fa9457d18 completed May 17, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0978016f188190b8e2d2c7b1b01977 completed May 17, 2026, 8:10 a.m.
Created at: April 16, 2026, 3 p.m.