Triple
T11893664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autódromo José Carlos Pace |
E282980
|
entity |
| Predicate | corner |
P7149
|
FINISHED |
| Object |
Juncão
Juncão is a famous late-circuit corner at Brazil’s Interlagos racetrack that leads onto the main uphill straight and is crucial for lap times and overtaking opportunities.
|
E954272
|
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: Juncão | Statement: [Autódromo José Carlos Pace, corner, Juncão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juncão Context triple: [Autódromo José Carlos Pace, corner, Juncão]
-
A.
Itapemirim
Itapemirim is a coastal municipality in southeastern Brazil known for its beaches, fishing activities, and location within the state of Espírito Santo.
-
B.
Ribeirinha
Ribeirinha is a civil parish located within the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
-
C.
Ribeirinha
Ribeirinha is a civil parish located on Faial Island in the Azores archipelago of Portugal.
-
D.
Jordão
Jordão is a neighborhood of Recife, Brazil, known as a largely residential area on the city’s outskirts.
-
E.
Pirapora
Pirapora is a municipality in the state of Minas Gerais, Brazil, known for its location on the São Francisco River and its river-based tourism and commerce.
- 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: Juncão Triple: [Autódromo José Carlos Pace, corner, Juncão]
Generated description
Juncão is a famous late-circuit corner at Brazil’s Interlagos racetrack that leads onto the main uphill straight and is crucial for lap times and overtaking opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juncão Target entity description: Juncão is a famous late-circuit corner at Brazil’s Interlagos racetrack that leads onto the main uphill straight and is crucial for lap times and overtaking opportunities.
-
A.
Itapemirim
Itapemirim is a coastal municipality in southeastern Brazil known for its beaches, fishing activities, and location within the state of Espírito Santo.
-
B.
Ribeirinha
Ribeirinha is a civil parish located on Faial Island in the Azores archipelago of Portugal.
-
C.
Ribeirinha
Ribeirinha is a civil parish located within the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
-
D.
Jordão
Jordão is a neighborhood of Recife, Brazil, known as a largely residential area on the city’s outskirts.
-
E.
Pirapora
Pirapora is a municipality in the state of Minas Gerais, Brazil, known for its location on the São Francisco River and its river-based tourism and commerce.
- 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_69f43fe43c7c8190a85d464fd48e00d9 |
completed | May 1, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69f448f506a48190a0f1b89ad570fad5 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44ad185cc8190893cf663cfed6980 |
completed | May 1, 2026, 6:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.