Triple
T14498102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cubatão |
E359555
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Bertioga |
E139027
|
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: Bertioga | Statement: [Cubatão, borderedBy, Bertioga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertioga Context triple: [Cubatão, borderedBy, 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.
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.
-
D.
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.
-
E.
Lagrenée
Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9311cc748190880c784f173b7f2b |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d99a7948190a3ff01e7b74aaa1e |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.