Triple

T11893661
Position Surface form Disambiguated ID Type / Status
Subject Autódromo José Carlos Pace E282980 entity
Predicate corner P7149 FINISHED
Object Pinheirinho
Pinheirinho is a tight, technical corner on Brazil’s Autódromo José Carlos Pace (Interlagos) circuit, known for challenging braking and overtaking maneuvers in motorsport events.
E953586 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: Pinheirinho | Statement: [Autódromo José Carlos Pace, corner, Pinheirinho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinheirinho
Context triple: [Autódromo José Carlos Pace, corner, Pinheirinho]
  • A. Pinheiral
    Pinheiral is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and growing role as a regional educational and residential center.
  • B. Ourinhos
    Ourinhos is a municipality in the southwestern part of the state of São Paulo, Brazil, known as a regional commercial and agricultural center.
  • C. Piquinho
    Piquinho is the prominent summit cone at the top of Mount Pico in the Azores, known as the highest point in Portugal.
  • D. Raminho
    Raminho is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
  • E. Pilão Cão
    Pilão Cão is a small rural village located on the island of Maio in Cape Verde.
  • 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: Pinheirinho
Triple: [Autódromo José Carlos Pace, corner, Pinheirinho]
Generated description
Pinheirinho is a tight, technical corner on Brazil’s Autódromo José Carlos Pace (Interlagos) circuit, known for challenging braking and overtaking maneuvers in motorsport events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pinheirinho
Target entity description: Pinheirinho is a tight, technical corner on Brazil’s Autódromo José Carlos Pace (Interlagos) circuit, known for challenging braking and overtaking maneuvers in motorsport events.
  • A. Pinheiral
    Pinheiral is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and growing role as a regional educational and residential center.
  • B. Ourinhos
    Ourinhos is a municipality in the southwestern part of the state of São Paulo, Brazil, known as a regional commercial and agricultural center.
  • C. Piquinho
    Piquinho is the prominent summit cone at the top of Mount Pico in the Azores, known as the highest point in Portugal.
  • D. Raminho
    Raminho is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
  • E. Pilão Cão
    Pilão Cão is a small rural village located on the island of Maio in Cape Verde.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1172988190a2c13d37220f2f93 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4180569ac81909137d56374e800c0 completed May 1, 2026, 3:03 a.m.
NEDg Description generation batch_69f41f1abaa481908b8a6873a07af848 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f422778a10819093bc2473ef30fe71 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.