Triple
T11893709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interlagos |
E282981
|
entity |
| Predicate | hasCorner |
P42380
|
FINISHED |
| Object | Ferradura |
E953584
|
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: Ferradura | Statement: [Interlagos, hasCorner, Ferradura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferradura Context triple: [Interlagos, hasCorner, Ferradura]
-
A.
Ferradura
chosen
Ferradura is a notable high-speed corner at Brazil’s Autódromo José Carlos Pace (Interlagos), challenging drivers with its sweeping, downhill right-hand bend.
-
B.
Lazo
Lazo is a nearby settlement in Primorsky Krai, Russia, known for its proximity to the Lazovsky Nature Reserve on the Sea of Japan coast.
-
C.
Tambor
Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
-
D.
Bota
Bota is a small riverside settlement in the Malaysian state of Perak, situated along the Perak River.
-
E.
Plateros
Plateros is a major Catholic pilgrimage site in Zacatecas, Mexico, renowned for its sanctuary dedicated to the Santo Niño de Atocha.
- 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_69f43fe43c7c8190a85d464fd48e00d9 |
completed | May 1, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:44 p.m.