Triple
T23129291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertioga Canal |
E577122
|
entity |
| Predicate | touristAttractionIn |
P7335
|
FINISHED |
| Object | Bertioga |
—
|
NE NERFINISHED |
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: Bertioga | Statement: [Bertioga Canal, touristAttractionIn, Bertioga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertioga Context triple: [Bertioga Canal, touristAttractionIn, Bertioga]
-
A.
Bertioga
chosen
Bertioga is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and Atlantic Forest landscapes.
-
B.
Papelotte
Papelotte is a farmhouse and hamlet in Belgium that served as a key defensive position on the Allied left flank during the Battle of Waterloo in 1815.
-
C.
Iracoubo
Iracoubo is a small coastal commune in French Guiana known for its historic church and location along the Atlantic shoreline.
-
D.
Port-Bouët
Port-Bouët is a coastal commune and suburb of Abidjan in Côte d'Ivoire, known for hosting the Félix-Houphouët-Boigny International Airport and several key port and beach areas.
-
E.
Port Pierre Canto
Port Pierre Canto is a prominent marina in Cannes, France, known for hosting luxury yachts and offering upscale waterfront amenities along the French Riviera.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8671f48190887e57d5723e49c1 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.