Triple

T15028871
Position Surface form Disambiguated ID Type / Status
Subject Pedrógão Grande E378287 entity
Predicate hasRoadConnection P385 FINISHED
Object IC8
IC8 is a major Portuguese roadway that serves as an important regional connector in central Portugal.
 E1133960 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: IC8 | Statement: [Pedrógão Grande, hasRoadConnection, IC8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IC8
Context triple: [Pedrógão Grande, hasRoadConnection, IC8]
  • A. IR8
    IR8 is a high-yielding semi-dwarf rice variety developed during the Green Revolution that significantly increased rice production worldwide.
  • 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 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.
  • D. IC
    IC is a category of long-distance passenger trains in Poland, operated by PKP Intercity and offering intercity connections between major cities.
  • E. 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.
  • 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: IC8
Triple: [Pedrógão Grande, hasRoadConnection, IC8]
Generated description
IC8 is a major Portuguese roadway that serves as an important regional connector in central Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IC8
Target entity description: IC8 is a major Portuguese roadway that serves as an important regional connector in central Portugal.
  • A. IR8
    IR8 is a high-yielding semi-dwarf rice variety developed during the Green Revolution that significantly increased rice production worldwide.
  • 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 a category of long-distance passenger trains in Poland, operated by PKP Intercity and offering intercity connections between major cities.
  • 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 the School of Computer and Communication Sciences at EPFL, renowned for its research and education in computer science, communications, and information technology.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e0e8c88190ac6f5786b4d4040f completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd967588190821cf47e9734db21 completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9e5dbbe0819084567688758b0245 completed May 9, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69fe9eedca1481908ce438991184d62e completed May 9, 2026, 2:41 a.m.
Created at: April 10, 2026, 2:58 a.m.