Triple
T11893712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interlagos |
E282981
|
entity |
| Predicate | hasCorner |
P42380
|
FINISHED |
| Object | Juncão |
E954272
|
NE FINISHED |
How this triple was built (2 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: [Interlagos, hasCorner, Juncão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juncão Context triple: [Interlagos, hasCorner, Juncão]
-
A.
Juncão
chosen
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.
-
B.
Itapemirim
Itapemirim is a coastal municipality in southeastern Brazil known for its beaches, fishing activities, and location within the state of Espírito Santo.
-
C.
Ribeirinha
Ribeirinha is a civil parish located within the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
-
D.
Ribeirinha
Ribeirinha is a civil parish located on Faial Island in the Azores archipelago of Portugal.
-
E.
Jordão
Jordão is a neighborhood of Recife, Brazil, known as a largely residential area on the city’s outskirts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f4586898888190b58e3102d7edf7df |
completed | May 1, 2026, 7:38 a.m. |
Created at: April 8, 2026, 9:44 p.m.