Triple

T8432639
Position Surface form Disambiguated ID Type / Status
Subject São Marcos da Serra E199151 entity
Predicate roadAccess P385 FINISHED
Object IC1
IC1 is a major Portuguese roadway that serves as an important inland north–south route connecting multiple regions and towns.
 E733983 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: IC1 | Statement: [São Marcos da Serra, roadAccess, IC1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IC1
Context triple: [São Marcos da Serra, roadAccess, IC1]
  • A. IC19
    IC19 is a major Portuguese roadway linking Lisbon to the Sintra area and serving as one of the country’s busiest commuter routes.
  • 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: IC1
Triple: [São Marcos da Serra, roadAccess, IC1]
Generated description
IC1 is a major Portuguese roadway that serves as an important inland north–south route connecting multiple regions and towns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IC1
Target entity description: IC1 is a major Portuguese roadway that serves as an important inland north–south route connecting multiple regions and towns.
  • A. IC19
    IC19 is a major Portuguese roadway linking Lisbon to the Sintra area and serving as one of the country’s busiest commuter routes.
  • B. 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.
  • 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 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.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a5d7488190842e246444fc9a4e completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d673ed48190abf765c203ed2a0f completed April 2, 2026, 7:40 a.m.
NEDg Description generation batch_69ce1e6e83008190a4c2f796928882c1 completed April 2, 2026, 7:44 a.m.
NED2 Entity disambiguation (via description) batch_69ce1f3d46f48190be7b494e808a70f9 completed April 2, 2026, 7:48 a.m.
Created at: March 30, 2026, 6:07 p.m.